runs/RNA-Seq_analysis/DEGs/DEGs_0.9/cop_L_WT_D/DEGpipe_cop_L vs. WT_D.log

+[1] "set parameters:"
+[1] "Counts file:/mnt/NAS_coruscant_datashare/haasf/madland_RNA-seq_Hoecker/31315.p.sort.counts"
+[1] "Results stored at:/mnt/NAS_coruscant_datashare/haasf/madland_RNA-seq_Hoecker/DEGs_0.9"
+[1] "SampleNames: cop_L" "SampleNames: WT_D" 
+[1] "LenGCTable: /mnt/NAS_coruscant_datashare/haasf/GeneAtlas_RNASeq/DEG_2nd_round/cosmoss_V3.3.release_2016-07-22.IsoformV31.fasta.length_GC_Contig_Daten_for_34840_1nd.csv"
+[1] "myLenPos: 1"
+[1] "myGCPos: 2"
+[1] "rpkm: 0"
+[1] "htseq: 0"
+[1] "pvtedgeR: 0.001"
+[1] "pvtDESeq2: 0.001"
+[1] "pvtNOISeq: 0.9"
+[1] "edgeRDir: edgeR"
+[1] "DESeq2Dir: DESeq2"
+[1] "NOISeqDir: NOISeq"
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Ubuntu 20.04.2 LTS
+
+Matrix products: default
+BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
+LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=de_DE.UTF-8        LC_COLLATE=en_US.UTF-8    
+ [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8    LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
+ [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
+
+attached base packages:
+ [1] splines   parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base     
+
+other attached packages:
+ [1] NOISeq_2.34.0               Matrix_1.3-3                vsn_3.58.0                  gplots_3.1.1               
+ [5] edgeR_3.32.1                limma_3.46.0                pals_1.7                    gridExtra_2.3              
+ [9] sjmisc_2.8.7                magick_2.7.2                pheatmap_1.0.12             RColorBrewer_1.1-2         
+[13] ggplot2_3.3.3               DESeq2_1.30.1               SummarizedExperiment_1.20.0 Biobase_2.50.0             
+[17] MatrixGenerics_1.2.1        matrixStats_0.58.0          GenomicRanges_1.42.0        GenomeInfoDb_1.26.7        
+[21] IRanges_2.24.1              S4Vectors_0.28.1            BiocGenerics_0.36.1        
+
+loaded via a namespace (and not attached):
+ [1] httr_1.4.2             maps_3.3.0             bit64_4.0.5            jsonlite_1.7.2         gtools_3.8.2          
+ [6] BiocManager_1.30.15    affy_1.68.0            blob_1.2.1             GenomeInfoDbData_1.2.4 pillar_1.6.1          
+[11] RSQLite_2.2.7          lattice_0.20-44        glue_1.4.2             digest_0.6.27          XVector_0.30.0        
+[16] colorspace_2.0-1       preprocessCore_1.52.1  htmltools_0.5.1.1      XML_3.99-0.6           pkgconfig_2.0.3       
+[21] genefilter_1.72.1      zlibbioc_1.36.0        purrr_0.3.4            xtable_1.8-4           scales_1.1.1          
+[26] affyio_1.60.0          BiocParallel_1.24.1    tibble_3.1.2           annotate_1.68.0        generics_0.1.0        
+[31] farver_2.1.0           sjlabelled_1.1.8       ellipsis_0.3.2         withr_2.4.2            survival_3.2-11       
+[36] magrittr_2.0.1         crayon_1.4.1           memoise_2.0.0          tools_4.0.5            lifecycle_1.0.0       
+[41] munsell_0.5.0          locfit_1.5-9.4         DelayedArray_0.16.3    AnnotationDbi_1.52.0   compiler_4.0.5        
+[46] caTools_1.18.2         rlang_0.4.11           grid_4.0.5             RCurl_1.98-1.3         dichromat_2.0-0       
+[51] rstudioapi_0.13        htmlwidgets_1.5.3      crosstalk_1.1.1        bitops_1.0-7           labeling_0.4.2        
+[56] gtable_0.3.0           DBI_1.1.1              R6_2.5.0               knitr_1.33             dplyr_1.0.6           
+[61] bit_4.0.4              insight_0.14.0         KernSmooth_2.23-20     Rcpp_1.0.6             vctrs_0.3.8           
+[66] mapproj_1.2.7          geneplotter_1.68.0     tidyselect_1.1.1       xfun_0.23             
+                                      sysname                                       release 
+                                      "Linux"                            "5.4.0-72-generic" 
+                                      version                                      nodename 
+"#80-Ubuntu SMP Mon Apr 12 17:35:00 UTC 2021"                                         "Ben" 
+                                      machine                                         login 
+                                     "x86_64"                                       "haasf" 
+                                         user                                effective_user 
+                                      "haasf"                                       "haasf" 
+[1] "cop_L"   "cop_L.1" "cop_L.2" "WT_D"    "WT_D.1"  "WT_D.2" 
+              cop_L cop_L.1 cop_L.2 WT_D WT_D.1 WT_D.2
+Pp3c1_20V3.1    389     389     378  194    198    298
+Pp3c1_40V3.1    257     243     207  439    523    588
+Pp3c1_60V3.1    475     525     521  622    626    743
+Pp3c1_70V3.1    378     389     382  459    526    643
+Pp3c1_80V3.1      2       3       0    1      1      0
+Pp3c1_100V3.1   556     527     565  576    539    761
+[1] "Raw data row number:  31315"
+[1] "Raw data column number:  6"
+[1] "Filtered data row number:  19879"
+[1] "Filtered data row number:  6"
+[1] "edgeR is running with cop_L vs. WT_D"
+[1] "DESeq2 is running with cop_L vs. WT_D"
+[1] "NOISeq is running with cop_L vs. WT_D"
+Filtering out low count features...
+19063 features are to be kept for differential expression analysis with filtering method 1
+[1] "GC content bias detection is to be computed for:"
+[1] "cop_L"   "cop_L.1" "cop_L.2" "WT_D"    "WT_D.1"  "WT_D.2" 
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-125.023  -35.313    1.216   25.711  215.536 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.391e+02  5.665e+01   4.221 6.13e-05 ***
+bx1         -1.856e+02  8.011e+01  -2.317 0.022953 *  
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.224e+06  1.643e+07  -0.561 0.576098    
+bx5          1.396e+03  2.293e+03   0.609 0.544206    
+bx6         -2.876e+02  1.655e+02  -1.738 0.085927 .  
+bx7          1.020e+02  7.236e+01   1.409 0.162519    
+bx8          2.254e+02  6.397e+01   3.523 0.000693 ***
+bx9          3.232e+02  6.738e+01   4.796 6.92e-06 ***
+bx10         4.347e+02  8.990e+01   4.835 5.94e-06 ***
+bx11        -3.949e+01  2.900e+02  -0.136 0.892014    
+bx12        -9.665e+02  1.695e+03  -0.570 0.570143    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 56.65 on 84 degrees of freedom
+Multiple R-squared:  0.8098,	Adjusted R-squared:  0.7872 
+F-statistic: 35.77 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "cop_L.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-130.403  -37.445    0.235   27.958  230.619 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.700e+02  5.887e+01   4.586 1.56e-05 ***
+bx1         -2.158e+02  8.326e+01  -2.592  0.01124 *  
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.849e+06  1.708e+07  -0.577  0.56568    
+bx5          1.477e+03  2.383e+03   0.620  0.53688    
+bx6         -3.275e+02  1.720e+02  -1.904  0.06031 .  
+bx7          8.227e+01  7.520e+01   1.094  0.27708    
+bx8          1.999e+02  6.648e+01   3.007  0.00348 ** 
+bx9          3.121e+02  7.002e+01   4.457 2.55e-05 ***
+bx10         4.434e+02  9.343e+01   4.746 8.44e-06 ***
+bx11         1.119e+01  3.014e+02   0.037  0.97048    
+bx12        -1.126e+03  1.762e+03  -0.639  0.52467    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 58.87 on 84 degrees of freedom
+Multiple R-squared:  0.8118,	Adjusted R-squared:  0.7894 
+F-statistic: 36.22 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "cop_L.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-124.08  -36.39    1.08   23.70  223.34 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.709e+02  5.754e+01   4.709 9.74e-06 ***
+bx1         -2.180e+02  8.138e+01  -2.679  0.00888 ** 
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.469e+06  1.669e+07  -0.567  0.57205    
+bx5          1.432e+03  2.329e+03   0.615  0.54022    
+bx6         -3.342e+02  1.681e+02  -1.988  0.05005 .  
+bx7          7.848e+01  7.350e+01   1.068  0.28866    
+bx8          1.965e+02  6.498e+01   3.024  0.00331 ** 
+bx9          2.988e+02  6.844e+01   4.366 3.59e-05 ***
+bx10         4.292e+02  9.133e+01   4.700 1.01e-05 ***
+bx11         1.216e+01  2.946e+02   0.041  0.96716    
+bx12        -1.068e+03  1.722e+03  -0.620  0.53664    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 57.54 on 84 degrees of freedom
+Multiple R-squared:  0.8124,	Adjusted R-squared:  0.7901 
+F-statistic: 36.38 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-96.89 -24.21   0.00  22.48 104.53 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.346e+02  3.839e+01   6.109 3.01e-08 ***
+bx1         -1.508e+02  5.430e+01  -2.777 0.006758 ** 
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -7.301e+06  1.114e+07  -0.655 0.513968    
+bx5          1.034e+03  1.554e+03   0.665 0.507711    
+bx6         -2.387e+02  1.122e+02  -2.128 0.036246 *  
+bx7          7.540e+01  4.904e+01   1.537 0.127938    
+bx8          1.472e+02  4.336e+01   3.394 0.001052 ** 
+bx9          1.643e+02  4.567e+01   3.599 0.000539 ***
+bx10         6.217e+01  6.094e+01   1.020 0.310526    
+bx11         7.100e+01  1.966e+02   0.361 0.718848    
+bx12        -6.607e+02  1.149e+03  -0.575 0.566847    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 38.39 on 84 degrees of freedom
+Multiple R-squared:  0.7294,	Adjusted R-squared:  0.6972 
+F-statistic: 22.65 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_D.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-103.97  -24.06    0.00   26.80  112.40 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.584e+02  4.164e+01   6.204 1.99e-08 ***
+bx1         -1.648e+02  5.889e+01  -2.799 0.006354 ** 
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -7.659e+06  1.208e+07  -0.634 0.527804    
+bx5          1.058e+03  1.685e+03   0.628 0.531801    
+bx6         -2.459e+02  1.217e+02  -2.022 0.046399 *  
+bx7          8.449e+01  5.319e+01   1.588 0.115969    
+bx8          1.607e+02  4.703e+01   3.416 0.000981 ***
+bx9          1.771e+02  4.953e+01   3.576 0.000582 ***
+bx10         6.102e+01  6.609e+01   0.923 0.358539    
+bx11         9.013e+01  2.132e+02   0.423 0.673561    
+bx12        -7.857e+02  1.246e+03  -0.630 0.530139    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 41.64 on 84 degrees of freedom
+Multiple R-squared:  0.7234,	Adjusted R-squared:  0.6905 
+F-statistic: 21.97 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_D.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-127.39  -30.89    0.00   33.29  127.21 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.635e+02  4.955e+01   5.318 8.54e-07 ***
+bx1         -1.617e+02  7.008e+01  -2.307   0.0235 *  
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.025e+06  1.438e+07  -0.628   0.5318    
+bx5          1.293e+03  2.006e+03   0.645   0.5210    
+bx6         -2.518e+02  1.448e+02  -1.740   0.0856 .  
+bx7          1.477e+02  6.330e+01   2.333   0.0220 *  
+bx8          2.381e+02  5.596e+01   4.254 5.42e-05 ***
+bx9          2.699e+02  5.894e+01   4.578 1.61e-05 ***
+bx10         1.142e+02  7.865e+01   1.452   0.1503    
+bx11         1.096e+02  2.537e+02   0.432   0.6668    
+bx12        -8.661e+02  1.483e+03  -0.584   0.5608    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 49.55 on 84 degrees of freedom
+Multiple R-squared:  0.7454,	Adjusted R-squared:  0.7151 
+F-statistic:  24.6 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "GC content bias detection is to be computed for:"
+[1] "cop_L" "WT_D" 
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-12.5962  -3.6172   0.1187   2.5805  22.2805 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.594e+01  5.746e+00   4.515 2.05e-05 ***
+bx1         -2.059e+01  8.126e+00  -2.534  0.01314 *  
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.458e+05  1.667e+06  -0.567  0.57196    
+bx5          1.426e+02  2.325e+02   0.613  0.54135    
+bx6         -3.155e+01  1.679e+01  -1.879  0.06366 .  
+bx7          8.658e+00  7.339e+00   1.180  0.24149    
+bx8          2.058e+01  6.489e+00   3.172  0.00211 ** 
+bx9          3.095e+01  6.835e+00   4.528 1.95e-05 ***
+bx10         4.330e+01  9.120e+00   4.749 8.34e-06 ***
+bx11        -6.171e-01  2.942e+01  -0.021  0.98331    
+bx12        -1.049e+02  1.720e+02  -0.610  0.54356    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 5.746 on 84 degrees of freedom
+Multiple R-squared:  0.811,	Adjusted R-squared:  0.7885 
+F-statistic: 36.04 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-11.822  -2.934   0.000   3.005  12.391 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.741e+01  4.653e+00   5.892 7.67e-08 ***
+bx1         -1.735e+01  6.580e+00  -2.636 0.009977 ** 
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -8.674e+05  1.350e+06  -0.643 0.522226    
+bx5          1.223e+02  1.883e+02   0.649 0.517843    
+bx6         -2.680e+01  1.359e+01  -1.971 0.051996 .  
+bx7          1.082e+01  5.943e+00   1.820 0.072351 .  
+bx8          1.937e+01  5.255e+00   3.686 0.000403 ***
+bx9          2.174e+01  5.535e+00   3.928 0.000175 ***
+bx10         8.307e+00  7.385e+00   1.125 0.263832    
+bx11         9.709e+00  2.382e+01   0.408 0.684611    
+bx12        -8.352e+01  1.393e+02  -0.600 0.550294    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.653 on 84 degrees of freedom
+Multiple R-squared:  0.7335,	Adjusted R-squared:  0.7018 
+F-statistic: 23.12 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-12.5962  -3.6172   0.1187   2.5805  22.2805 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.594e+01  5.746e+00   4.515 2.05e-05 ***
+bx1         -2.059e+01  8.126e+00  -2.534  0.01314 *  
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -9.458e+05  1.667e+06  -0.567  0.57196    
+bx5          1.426e+02  2.325e+02   0.613  0.54135    
+bx6         -3.155e+01  1.679e+01  -1.879  0.06366 .  
+bx7          8.658e+00  7.339e+00   1.180  0.24149    
+bx8          2.058e+01  6.489e+00   3.172  0.00211 ** 
+bx9          3.095e+01  6.835e+00   4.528 1.95e-05 ***
+bx10         4.330e+01  9.120e+00   4.749 8.34e-06 ***
+bx11        -6.171e-01  2.942e+01  -0.021  0.98331    
+bx12        -1.049e+02  1.720e+02  -0.610  0.54356    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 5.746 on 84 degrees of freedom
+Multiple R-squared:  0.811,	Adjusted R-squared:  0.7885 
+F-statistic: 36.04 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-11.822  -2.934   0.000   3.005  12.391 
+
+Coefficients: (3 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  2.741e+01  4.653e+00   5.892 7.67e-08 ***
+bx1         -1.735e+01  6.580e+00  -2.636 0.009977 ** 
+bx2                 NA         NA      NA       NA    
+bx3                 NA         NA      NA       NA    
+bx4         -8.674e+05  1.350e+06  -0.643 0.522226    
+bx5          1.223e+02  1.883e+02   0.649 0.517843    
+bx6         -2.680e+01  1.359e+01  -1.971 0.051996 .  
+bx7          1.082e+01  5.943e+00   1.820 0.072351 .  
+bx8          1.937e+01  5.255e+00   3.686 0.000403 ***
+bx9          2.174e+01  5.535e+00   3.928 0.000175 ***
+bx10         8.307e+00  7.385e+00   1.125 0.263832    
+bx11         9.709e+00  2.382e+01   0.408 0.684611    
+bx12        -8.352e+01  1.393e+02  -0.600 0.550294    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.653 on 84 degrees of freedom
+Multiple R-squared:  0.7335,	Adjusted R-squared:  0.7018 
+F-statistic: 23.12 on 10 and 84 DF,  p-value: < 2.2e-16
+
+[1] "Length bias detection information is to be computed for:"
+[1] "cop_L"   "cop_L.1" "cop_L.2" "WT_D"    "WT_D.1"  "WT_D.2" 
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-101.950  -26.745   -7.546   29.859  123.912 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)    819.19      47.45  17.266  < 2e-16 ***
+bx1           -783.02      66.51 -11.773  < 2e-16 ***
+bx2           -758.58      72.85 -10.413  < 2e-16 ***
+bx3           -269.36      61.43  -4.385 3.42e-05 ***
+bx4           -460.75      54.30  -8.485 7.63e-13 ***
+bx5           -347.10      53.67  -6.467 6.79e-09 ***
+bx6           -419.06      55.69  -7.525 6.05e-11 ***
+bx7           -357.85      60.76  -5.890 8.20e-08 ***
+bx8           -324.44      72.81  -4.456 2.62e-05 ***
+bx9           -365.91     110.31  -3.317  0.00136 ** 
+bx10           -28.96     294.21  -0.098  0.92182    
+bx11         -4208.36    5523.29  -0.762  0.44829    
+bx12         79283.97  104579.01   0.758  0.45055    
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 47.45 on 82 degrees of freedom
+Multiple R-squared:  0.766,	Adjusted R-squared:  0.7317 
+F-statistic: 22.37 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "cop_L.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-95.238 -29.923  -0.174  31.508 135.801 
+
+Coefficients: (1 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)    806.632     49.549  16.280  < 2e-16 ***
+bx1           -768.554     69.456 -11.065  < 2e-16 ***
+bx2           -752.427     76.077  -9.890 1.23e-15 ***
+bx3           -211.109     64.157  -3.290  0.00148 ** 
+bx4           -435.768     56.711  -7.684 2.94e-11 ***
+bx5           -319.820     56.052  -5.706 1.78e-07 ***
+bx6           -403.360     58.157  -6.936 8.55e-10 ***
+bx7           -339.520     63.451  -5.351 7.78e-07 ***
+bx8           -312.044     76.032  -4.104 9.53e-05 ***
+bx9           -361.513    115.199  -3.138  0.00236 ** 
+bx10            -7.324    307.247  -0.024  0.98104    
+bx11         -4372.896   5768.067  -0.758  0.45055    
+bx12         82326.314 109213.688   0.754  0.45312    
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 49.55 on 82 degrees of freedom
+Multiple R-squared:  0.7403,	Adjusted R-squared:  0.7022 
+F-statistic: 19.47 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "cop_L.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-84.460 -30.715  -2.425  30.843 134.378 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)    842.34      47.64  17.682  < 2e-16 ***
+bx1           -804.26      66.78 -12.044  < 2e-16 ***
+bx2           -790.96      73.14 -10.814  < 2e-16 ***
+bx3           -286.16      61.68  -4.639 1.31e-05 ***
+bx4           -474.39      54.52  -8.701 2.84e-13 ***
+bx5           -364.90      53.89  -6.771 1.78e-09 ***
+bx6           -435.06      55.91  -7.781 1.90e-11 ***
+bx7           -373.51      61.00  -6.123 3.03e-08 ***
+bx8           -340.99      73.10  -4.665 1.19e-05 ***
+bx9           -370.96     110.76  -3.349  0.00123 ** 
+bx10           -72.31     295.40  -0.245  0.80723    
+bx11         -3371.29    5545.67  -0.608  0.54492    
+bx12         62391.10  105002.70   0.594  0.55402    
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 47.64 on 82 degrees of freedom
+Multiple R-squared:  0.7757,	Adjusted R-squared:  0.7428 
+F-statistic: 23.63 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-60.041 -18.391  -0.077  19.747  87.484 
+
+Coefficients: (1 not defined because of singularities)
+              Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   1106.895     30.347  36.475  < 2e-16 ***
+bx1          -1062.999     42.540 -24.988  < 2e-16 ***
+bx2          -1027.771     46.595 -22.058  < 2e-16 ***
+bx3           -801.610     39.294 -20.400  < 2e-16 ***
+bx4           -883.300     34.733 -25.431  < 2e-16 ***
+bx5           -773.758     34.330 -22.539  < 2e-16 ***
+bx6           -727.594     35.619 -20.427  < 2e-16 ***
+bx7           -695.061     38.862 -17.885  < 2e-16 ***
+bx8           -539.748     46.567 -11.591  < 2e-16 ***
+bx9           -672.727     70.556  -9.535 6.23e-15 ***
+bx10            -3.843    188.179  -0.020   0.9838    
+bx11         -7501.018   3532.760  -2.123   0.0367 *  
+bx12        140249.340  66889.959   2.097   0.0391 *  
+bx13                NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 30.35 on 82 degrees of freedom
+Multiple R-squared:  0.9595,	Adjusted R-squared:  0.9536 
+F-statistic:   162 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_D.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-65.44 -19.27   0.00  21.31  98.22 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   1170.28      33.60  34.830  < 2e-16 ***
+bx1          -1120.54      47.10 -23.791  < 2e-16 ***
+bx2          -1079.57      51.59 -20.926  < 2e-16 ***
+bx3           -822.63      43.51 -18.908  < 2e-16 ***
+bx4           -920.27      38.46 -23.930  < 2e-16 ***
+bx5           -805.76      38.01 -21.199  < 2e-16 ***
+bx6           -754.33      39.44 -19.127  < 2e-16 ***
+bx7           -723.40      43.03 -16.812  < 2e-16 ***
+bx8           -555.60      51.56 -10.776  < 2e-16 ***
+bx9           -704.68      78.12  -9.020 6.55e-14 ***
+bx10            18.14     208.35   0.087   0.9308    
+bx11         -7975.98    3911.48  -2.039   0.0447 *  
+bx12        149228.49   74060.63   2.015   0.0472 *  
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 33.6 on 82 degrees of freedom
+Multiple R-squared:  0.9551,	Adjusted R-squared:  0.9485 
+F-statistic: 145.4 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_D.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-78.33 -23.70   0.00  26.03 110.89 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   1346.91      39.26  34.305  < 2e-16 ***
+bx1          -1291.29      55.04 -23.462  < 2e-16 ***
+bx2          -1251.98      60.28 -20.768  < 2e-16 ***
+bx3           -923.68      50.84 -18.169  < 2e-16 ***
+bx4          -1044.85      44.94 -23.251  < 2e-16 ***
+bx5           -904.99      44.42 -20.376  < 2e-16 ***
+bx6           -844.78      46.08 -18.332  < 2e-16 ***
+bx7           -814.09      50.28 -16.192  < 2e-16 ***
+bx8           -618.69      60.25 -10.269  < 2e-16 ***
+bx9           -788.13      91.28  -8.634 3.85e-13 ***
+bx10            10.55     243.46   0.043   0.9655    
+bx11         -8527.05    4570.64  -1.866   0.0657 .  
+bx12        158853.47   86541.35   1.836   0.0700 .  
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 39.26 on 82 degrees of freedom
+Multiple R-squared:  0.9542,	Adjusted R-squared:  0.9474 
+F-statistic: 142.2 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "Length bias detection information is to be computed for:"
+[1] "cop_L" "WT_D" 
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-9.366 -2.903 -0.307  3.021 13.071 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)    81.925      4.793  17.091  < 2e-16 ***
+bx1           -78.196      6.719 -11.638  < 2e-16 ***
+bx2           -76.423      7.360 -10.384  < 2e-16 ***
+bx3           -25.459      6.207  -4.102 9.60e-05 ***
+bx4           -45.504      5.486  -8.294 1.82e-12 ***
+bx5           -34.257      5.422  -6.318 1.30e-08 ***
+bx6           -41.742      5.626  -7.419 9.75e-11 ***
+bx7           -35.532      6.138  -5.789 1.26e-07 ***
+bx8           -32.463      7.355  -4.413 3.07e-05 ***
+bx9           -36.429     11.144  -3.269  0.00158 ** 
+bx10           -3.707     29.723  -0.125  0.90104    
+bx11         -395.034    558.002  -0.708  0.48099    
+bx12         7403.692  10565.313   0.701  0.48544    
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.793 on 82 degrees of freedom
+Multiple R-squared:  0.761,	Adjusted R-squared:  0.726 
+F-statistic: 21.76 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-7.334 -2.318  0.000  2.369 10.694 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   130.676      3.707  35.250  < 2e-16 ***
+bx1          -125.303      5.197 -24.113  < 2e-16 ***
+bx2          -121.107      5.692 -21.277  < 2e-16 ***
+bx3           -92.093      4.800 -19.186  < 2e-16 ***
+bx4          -102.834      4.243 -24.237  < 2e-16 ***
+bx5           -89.720      4.194 -21.394  < 2e-16 ***
+bx6           -84.076      4.351 -19.323  < 2e-16 ***
+bx7           -80.635      4.747 -16.986  < 2e-16 ***
+bx8           -61.979      5.689 -10.895  < 2e-16 ***
+bx9           -78.205      8.619  -9.074 5.14e-14 ***
+bx10            1.004     22.987   0.044   0.9653    
+bx11         -869.141    431.551  -2.014   0.0473 *  
+bx12        16228.206   8171.072   1.986   0.0504 .  
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 3.707 on 82 degrees of freedom
+Multiple R-squared:  0.9565,	Adjusted R-squared:  0.9501 
+F-statistic: 150.1 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "cop_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-9.366 -2.903 -0.307  3.021 13.071 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)    81.925      4.793  17.091  < 2e-16 ***
+bx1           -78.196      6.719 -11.638  < 2e-16 ***
+bx2           -76.423      7.360 -10.384  < 2e-16 ***
+bx3           -25.459      6.207  -4.102 9.60e-05 ***
+bx4           -45.504      5.486  -8.294 1.82e-12 ***
+bx5           -34.257      5.422  -6.318 1.30e-08 ***
+bx6           -41.742      5.626  -7.419 9.75e-11 ***
+bx7           -35.532      6.138  -5.789 1.26e-07 ***
+bx8           -32.463      7.355  -4.413 3.07e-05 ***
+bx9           -36.429     11.144  -3.269  0.00158 ** 
+bx10           -3.707     29.723  -0.125  0.90104    
+bx11         -395.034    558.002  -0.708  0.48099    
+bx12         7403.692  10565.313   0.701  0.48544    
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.793 on 82 degrees of freedom
+Multiple R-squared:  0.761,	Adjusted R-squared:  0.726 
+F-statistic: 21.76 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-7.334 -2.318  0.000  2.369 10.694 
+
+Coefficients: (1 not defined because of singularities)
+             Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   130.676      3.707  35.250  < 2e-16 ***
+bx1          -125.303      5.197 -24.113  < 2e-16 ***
+bx2          -121.107      5.692 -21.277  < 2e-16 ***
+bx3           -92.093      4.800 -19.186  < 2e-16 ***
+bx4          -102.834      4.243 -24.237  < 2e-16 ***
+bx5           -89.720      4.194 -21.394  < 2e-16 ***
+bx6           -84.076      4.351 -19.323  < 2e-16 ***
+bx7           -80.635      4.747 -16.986  < 2e-16 ***
+bx8           -61.979      5.689 -10.895  < 2e-16 ***
+bx9           -78.205      8.619  -9.074 5.14e-14 ***
+bx10            1.004     22.987   0.044   0.9653    
+bx11         -869.141    431.551  -2.014   0.0473 *  
+bx12        16228.206   8171.072   1.986   0.0504 .  
+bx13               NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 3.707 on 82 degrees of freedom
+Multiple R-squared:  0.9565,	Adjusted R-squared:  0.9501 
+F-statistic: 150.1 on 12 and 82 DF,  p-value: < 2.2e-16
+
+[1] "Reference sample is: cop_L"
+[1] "Confidence intervals for median of M:"
+        0.5%                   99.5%                   Diagnostic Test
+cop_L.1 "-0.0145929491870359"  "-0.00775372645643015"  "FAILED"       
+cop_L.2 "-0.00798278608538002" "-0.000715147275008594" "FAILED"       
+WT_D    "0.0308637484636128"   "0.0919635352534783"    "FAILED"       
+WT_D.1  "0.0265261668477399"   "0.0895998059181934"    "FAILED"       
+WT_D.2  "0.0623193111664229"   "0.12452993935426"      "FAILED"       
+[1] "Diagnostic test: FAILED. Normalization is required to correct this bias."
+[1] "WARNING: Your experiment has biological replicates. You should consider using NOISeqBIO instead of NOISeq."
+[1] "Computing (M,D) values..."
+[1] "Computing probability of differential expression..."
+[1] "WARNING: Your experiment has biological replicates. You should consider using NOISeqBIO instead of NOISeq."
+[1] "Computing (M,D) values..."
+[1] "Computing probability of differential expression..."
+[1] "WARNING: Your experiment has biological replicates. You should consider using NOISeqBIO instead of NOISeq."
+[1] "Computing (M,D) values..."
+[1] "Computing probability of differential expression..."
+Computing Z values...
+Filtering out low count features...
+18413 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1]    69     4    46   236  1650   524  3990   167 10355    13    34   239    73    20   993
+Resampling cluster...[1] 1
+[1] 2
+[1] 3
+[1] 4
+[1] 5
+Size of 15 subclusters of cluster: 5
+ [1]  64 190  92 176 108 131  87  48 104  76 201 115  63  68 127
+[1] 6
+[1] 7
+Size of 15 subclusters of cluster: 7
+ [1] 156 313 228 382 340 276 487 240 206 166 248 278 121 156 393
+[1] 8
+[1] 9
+Size of 15 subclusters of cluster: 9
+ [1]  847  600  692  653  584 1670  292  344  446  547 1092  478  782  392  936
+[1] 10
+[1] 11
+[1] 12
+[1] 13
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.0777697162759164
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+ 0.0000  0.9611  0.9980  0.9189  1.0000  1.0000     650 
+Computing Z values...
+Filtering out low count features...
+19063 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1]   15  211 1660 1134  220 4746   33  641 9902   68   74  282   20   53    4
+Resampling cluster...[1] 1
+[1] 2
+[1] 3
+Size of 15 subclusters of cluster: 3
+ [1]  57  47 150  91  84  69 128 180 175  78 106 139 119  67 170
+[1] 4
+Size of 15 subclusters of cluster: 4
+ [1]  67  28 140 118  97 144  88  77  40  66  62  49  44  57  57
+[1] 5
+[1] 6
+Size of 15 subclusters of cluster: 6
+ [1] 527 171 254 323 232 366 269 397 477 283 520 231 144 327 225
+[1] 7
+[1] 8
+[1] 9
+Size of 15 subclusters of cluster: 9
+ [1]  473  268  474  350 1994  335  581  777  295 1010  507  633  765  721  719
+[1] 10
+[1] 11
+[1] 12
+[1] 13
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.0814153335043643
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+ 0.0000  0.9545  0.9984  0.9150  1.0000  1.0000 
+Computing Z values...
+Filtering out low count features...
+19063 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1] 1423  381 2706  123  107    9   43 1014 7927  409   44 4532  261   75    9
+Resampling cluster...[1] 1
+Size of 15 subclusters of cluster: 1
+ [1]  79  96  88 173  70  64  55 123 130  64  96 112 101  68 104
+[1] 2
+[1] 3
+Size of 15 subclusters of cluster: 3
+ [1] 201 291 184 163 106 196 240 111 171 144 151 207 163  83 295
+[1] 4
+[1] 5
+[1] 6
+[1] 7
+[1] 8
+Size of 15 subclusters of cluster: 8
+ [1]  49  73  73  84  85  93  69  61  74  47 108  81  36  49  32
+[1] 9
+Size of 15 subclusters of cluster: 9
+ [1]  315  256  453  399  191  250  292 2041  626  601  453  776  387  484  403
+[1] 10
+[1] 11
+[1] 12
+Size of 15 subclusters of cluster: 12
+ [1] 358 153 468 299 310 267 422 420 195 298 164 206 408 251 313
+[1] 13
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.105836543597382
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+ 0.0000  0.9144  0.9958  0.8890  1.0000  1.0000 
+[1] "10749 differentially expressed features"
+[1] "5445 differentially expressed features (up in first condition)"
+[1] "5304 differentially expressed features (down in first condition)"
+[1] "9675 differentially expressed features"
+[1] "5324 differentially expressed features (up in first condition)"
+[1] "4351 differentially expressed features (down in first condition)"
+[1] "9419 differentially expressed features"
+[1] "12400 differentially expressed features"
+[1] "7200 differentially expressed features"
+[1] "9839 differentially expressed features"
+[1] "9361 differentially expressed features"
+[1] "12292 differentially expressed features"
+[1] "15254 differentially expressed features"
+[1] "10749 differentially expressed features"
+[1] "14586 differentially expressed features"
+[1] "9675 differentially expressed features"
+[1] "9419 differentially expressed features"
+[1] "7200 differentially expressed features"
+[1] "DEGs edgeR"
+[1] 14938
+[1] "DEGs deseq2"
+[1] 13221
+[1] "DEGs noiseq"
+[1] 9419
+[1] "DEGs noiseqbio"
+[1] 10749
+[1] "DEGs intersection without direction check (four methods)"
+[1] 9089
+   [1] "Pp3c1_40V3.1"    "Pp3c1_70V3.1"    "Pp3c1_190V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_400V3.1"   "Pp3c1_430V3.1"  
+   [8] "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"   "Pp3c1_680V3.1"   "Pp3c1_690V3.1"   "Pp3c1_890V3.1"  
+  [15] "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1240V3.1"  "Pp3c1_1260V3.1"  "Pp3c1_1330V3.1" 
+  [22] "Pp3c1_1360V3.1"  "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1790V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1" 
+  [29] "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2390V3.1" 
+  [36] "Pp3c1_2420V3.1"  "Pp3c1_2510V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_2740V3.1"  "Pp3c1_2770V3.1"  "Pp3c1_2880V3.1"  "Pp3c1_2920V3.1" 
+  [43] "Pp3c1_2960V3.1"  "Pp3c1_2980V3.1"  "Pp3c1_3040V3.1"  "Pp3c1_3140V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1" 
+  [50] "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3260V3.1"  "Pp3c1_3300V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3520V3.1"  "Pp3c1_3590V3.1" 
+  [57] "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3730V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_3890V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1" 
+  [64] "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4400V3.1"  "Pp3c1_4470V3.1" 
+  [71] "Pp3c1_4510V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4750V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [78] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_5850V3.1"  "Pp3c1_5870V3.1" 
+  [85] "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6120V3.1"  "Pp3c1_6130V3.1"  "Pp3c1_6272V3.1" 
+  [92] "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1"  "Pp3c1_6480V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6570V3.1" 
+  [99] "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_6950V3.1"  "Pp3c1_7010V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7090V3.1" 
+ [106] "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7220V3.1"  "Pp3c1_7300V3.1"  "Pp3c1_7360V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1" 
+ [113] "Pp3c1_7390V3.1"  "Pp3c1_7430V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1" 
+ [120] "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7880V3.1"  "Pp3c1_7950V3.1" 
+ [127] "Pp3c1_8060V3.1"  "Pp3c1_8080V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1" 
+ [134] "Pp3c1_8290V3.1"  "Pp3c1_8400V3.1"  "Pp3c1_8450V3.1"  "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1" 
+ [141] "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9630V3.1" 
+ [148] "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9896V3.1"  "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10040V3.1" "Pp3c1_10080V3.1"
+ [155] "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10200V3.1" "Pp3c1_10220V3.1" "Pp3c1_10400V3.1" "Pp3c1_10470V3.1" "Pp3c1_10530V3.1"
+ [162] "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1" "Pp3c1_10630V3.1" "Pp3c1_10760V3.1" "Pp3c1_10810V3.1" "Pp3c1_10830V3.1"
+ [169] "Pp3c1_10880V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1" "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1" "Pp3c1_11420V3.1"
+ [176] "Pp3c1_11980V3.1" "Pp3c1_12020V3.1" "Pp3c1_12100V3.1" "Pp3c1_12120V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12560V3.1"
+ [183] "Pp3c1_12610V3.1" "Pp3c1_12630V3.1" "Pp3c1_12730V3.1" "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1"
+ [190] "Pp3c1_12940V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1" "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1"
+ [197] "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13800V3.1" "Pp3c1_13830V3.1" "Pp3c1_13910V3.1" "Pp3c1_14230V3.1" "Pp3c1_14330V3.1"
+ [204] "Pp3c1_14380V3.1" "Pp3c1_14540V3.1" "Pp3c1_14670V3.1" "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1"
+ [211] "Pp3c1_14870V3.1" "Pp3c1_14880V3.1" "Pp3c1_14910V3.1" "Pp3c1_14920V3.1" "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15090V3.1"
+ [218] "Pp3c1_15100V3.1" "Pp3c1_15110V3.1" "Pp3c1_15130V3.1" "Pp3c1_15150V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1"
+ [225] "Pp3c1_15410V3.1" "Pp3c1_15440V3.1" "Pp3c1_15460V3.1" "Pp3c1_15560V3.1" "Pp3c1_15690V3.1" "Pp3c1_15730V3.1" "Pp3c1_15750V3.1"
+ [232] "Pp3c1_15940V3.1" "Pp3c1_16170V3.1" "Pp3c1_16250V3.1" "Pp3c1_16500V3.1" "Pp3c1_16600V3.1" "Pp3c1_16780V3.1" "Pp3c1_16840V3.1"
+ [239] "Pp3c1_16850V3.1" "Pp3c1_16900V3.1" "Pp3c1_16980V3.1" "Pp3c1_17080V3.1" "Pp3c1_17220V3.1" "Pp3c1_17370V3.1" "Pp3c1_17860V3.1"
+ [246] "Pp3c1_17870V3.1" "Pp3c1_18130V3.1" "Pp3c1_18150V3.1" "Pp3c1_18260V3.1" "Pp3c1_18280V3.1" "Pp3c1_18420V3.1" "Pp3c1_18440V3.1"
+ [253] "Pp3c1_18460V3.1" "Pp3c1_18530V3.1" "Pp3c1_18830V3.1" "Pp3c1_18860V3.1" "Pp3c1_18910V3.1" "Pp3c1_18940V3.1" "Pp3c1_19060V3.1"
+ [260] "Pp3c1_19176V3.1" "Pp3c1_19200V3.1" "Pp3c1_19210V3.1" "Pp3c1_19230V3.1" "Pp3c1_19240V3.1" "Pp3c1_19310V3.1" "Pp3c1_19370V3.1"
+ [267] "Pp3c1_19400V3.1" "Pp3c1_19660V3.1" "Pp3c1_20010V3.1" "Pp3c1_20040V3.1" "Pp3c1_20050V3.1" "Pp3c1_20280V3.1" "Pp3c1_20310V3.1"
+ [274] "Pp3c1_20350V3.1" "Pp3c1_20430V3.1" "Pp3c1_20640V3.1" "Pp3c1_20690V3.1" "Pp3c1_20700V3.1" "Pp3c1_20710V3.1" "Pp3c1_20753V3.1"
+ [281] "Pp3c1_20770V3.1" "Pp3c1_20790V3.1" "Pp3c1_20810V3.1" "Pp3c1_20870V3.1" "Pp3c1_20880V3.1" "Pp3c1_20960V3.1" "Pp3c1_20980V3.1"
+ [288] "Pp3c1_21050V3.1" "Pp3c1_21110V3.1" "Pp3c1_21160V3.1" "Pp3c1_21200V3.1" "Pp3c1_21230V3.1" "Pp3c1_21270V3.1" "Pp3c1_21290V3.1"
+ [295] "Pp3c1_21360V3.1" "Pp3c1_21400V3.1" "Pp3c1_21480V3.1" "Pp3c1_21510V3.1" "Pp3c1_21540V3.1" "Pp3c1_21550V3.1" "Pp3c1_21620V3.1"
+ [302] "Pp3c1_21650V3.1" "Pp3c1_21730V3.1" "Pp3c1_21760V3.1" "Pp3c1_21810V3.1" "Pp3c1_21850V3.1" "Pp3c1_21890V3.1" "Pp3c1_21920V3.1"
+ [309] "Pp3c1_22040V3.1" "Pp3c1_22090V3.1" "Pp3c1_22120V3.1" "Pp3c1_22260V3.1" "Pp3c1_22300V3.1" "Pp3c1_22360V3.1" "Pp3c1_22450V3.1"
+ [316] "Pp3c1_22500V3.1" "Pp3c1_22520V3.1" "Pp3c1_22540V3.1" "Pp3c1_22560V3.1" "Pp3c1_22590V3.1" "Pp3c1_22690V3.1" "Pp3c1_22710V3.1"
+ [323] "Pp3c1_22820V3.1" "Pp3c1_22900V3.1" "Pp3c1_22950V3.1" "Pp3c1_23000V3.1" "Pp3c1_23010V3.1" "Pp3c1_23020V3.1" "Pp3c1_23040V3.1"
+ [330] "Pp3c1_23190V3.1" "Pp3c1_23260V3.1" "Pp3c1_23300V3.1" "Pp3c1_23410V3.1" "Pp3c1_23460V3.1" "Pp3c1_23490V3.1" "Pp3c1_23520V3.1"
+ [337] "Pp3c1_23590V3.1" "Pp3c1_23600V3.1" "Pp3c1_23670V3.1" "Pp3c1_23680V3.1" "Pp3c1_23750V3.1" "Pp3c1_23850V3.1" "Pp3c1_23900V3.1"
+ [344] "Pp3c1_23920V3.1" "Pp3c1_23930V3.1" "Pp3c1_23940V3.1" "Pp3c1_23960V3.1" "Pp3c1_23970V3.1" "Pp3c1_24000V3.1" "Pp3c1_24090V3.1"
+ [351] "Pp3c1_24120V3.1" "Pp3c1_24300V3.1" "Pp3c1_24350V3.1" "Pp3c1_24420V3.1" "Pp3c1_24440V3.1" "Pp3c1_24500V3.1" "Pp3c1_24560V3.1"
+ [358] "Pp3c1_24600V3.1" "Pp3c1_24660V3.1" "Pp3c1_24700V3.1" "Pp3c1_24790V3.1" "Pp3c1_24820V3.1" "Pp3c1_24890V3.1" "Pp3c1_24950V3.1"
+ [365] "Pp3c1_25000V3.1" "Pp3c1_25070V3.1" "Pp3c1_25080V3.1" "Pp3c1_25290V3.1" "Pp3c1_25400V3.1" "Pp3c1_25410V3.1" "Pp3c1_25450V3.1"
+ [372] "Pp3c1_25640V3.1" "Pp3c1_25660V3.1" "Pp3c1_25700V3.1" "Pp3c1_25750V3.1" "Pp3c1_25770V3.1" "Pp3c1_25850V3.1" "Pp3c1_25920V3.1"
+ [379] "Pp3c1_25940V3.1" "Pp3c1_25970V3.1" "Pp3c1_25980V3.1" "Pp3c1_26200V3.1" "Pp3c1_26270V3.1" "Pp3c1_26350V3.1" "Pp3c1_26720V3.1"
+ [386] "Pp3c1_26730V3.1" "Pp3c1_26740V3.1" "Pp3c1_26750V3.1" "Pp3c1_26780V3.1" "Pp3c1_27020V3.1" "Pp3c1_27160V3.1" "Pp3c1_27170V3.1"
+ [393] "Pp3c1_27180V3.1" "Pp3c1_27230V3.1" "Pp3c1_27270V3.1" "Pp3c1_27440V3.1" "Pp3c1_27510V3.1" "Pp3c1_27630V3.1" "Pp3c1_27830V3.1"
+ [400] "Pp3c1_27990V3.1" "Pp3c1_28060V3.1" "Pp3c1_28110V3.1" "Pp3c1_28200V3.1" "Pp3c1_28340V3.1" "Pp3c1_28370V3.1" "Pp3c1_28390V3.1"
+ [407] "Pp3c1_28430V3.1" "Pp3c1_28480V3.1" "Pp3c1_28560V3.1" "Pp3c1_28630V3.1" "Pp3c1_28680V3.1" "Pp3c1_28690V3.1" "Pp3c1_28730V3.1"
+ [414] "Pp3c1_28750V3.1" "Pp3c1_28760V3.1" "Pp3c1_28770V3.1" "Pp3c1_29030V3.1" "Pp3c1_29050V3.1" "Pp3c1_29070V3.1" "Pp3c1_29090V3.1"
+ [421] "Pp3c1_29160V3.1" "Pp3c1_29380V3.1" "Pp3c1_29390V3.1" "Pp3c1_29440V3.1" "Pp3c1_29460V3.1" "Pp3c1_29500V3.1" "Pp3c1_29560V3.1"
+ [428] "Pp3c1_29600V3.1" "Pp3c1_29630V3.1" "Pp3c1_29650V3.1" "Pp3c1_29660V3.1" "Pp3c1_29770V3.1" "Pp3c1_29810V3.1" "Pp3c1_29970V3.1"
+ [435] "Pp3c1_30080V3.1" "Pp3c1_30090V3.1" "Pp3c1_30120V3.1" "Pp3c1_30130V3.1" "Pp3c1_30150V3.1" "Pp3c1_30400V3.1" "Pp3c1_30410V3.1"
+ [442] "Pp3c1_30550V3.1" "Pp3c1_30570V3.1" "Pp3c1_30620V3.1" "Pp3c1_30640V3.1" "Pp3c1_30660V3.1" "Pp3c1_30730V3.1" "Pp3c1_30760V3.1"
+ [449] "Pp3c1_30790V3.1" "Pp3c1_30960V3.1" "Pp3c1_30990V3.1" "Pp3c1_31050V3.1" "Pp3c1_31250V3.1" "Pp3c1_31280V3.1" "Pp3c1_31440V3.1"
+ [456] "Pp3c1_31540V3.1" "Pp3c1_31630V3.1" "Pp3c1_31680V3.1" "Pp3c1_31720V3.1" "Pp3c1_31730V3.1" "Pp3c1_31830V3.1" "Pp3c1_31850V3.1"
+ [463] "Pp3c1_31930V3.1" "Pp3c1_32070V3.1" "Pp3c1_32090V3.1" "Pp3c1_32120V3.1" "Pp3c1_32170V3.1" "Pp3c1_32190V3.1" "Pp3c1_32200V3.1"
+ [470] "Pp3c1_32210V3.1" "Pp3c1_32230V3.1" "Pp3c1_32260V3.1" "Pp3c1_32280V3.1" "Pp3c1_32320V3.1" "Pp3c1_32330V3.1" "Pp3c1_32350V3.1"
+ [477] "Pp3c1_32390V3.1" "Pp3c1_32410V3.1" "Pp3c1_32440V3.1" "Pp3c1_32490V3.1" "Pp3c1_32520V3.1" "Pp3c1_32570V3.1" "Pp3c1_32600V3.1"
+ [484] "Pp3c1_32740V3.1" "Pp3c1_32750V3.1" "Pp3c1_32760V3.1" "Pp3c1_32770V3.1" "Pp3c1_32810V3.1" "Pp3c1_32850V3.1" "Pp3c1_32910V3.1"
+ [491] "Pp3c1_32920V3.1" "Pp3c1_32943V3.1" "Pp3c1_32960V3.1" "Pp3c1_33030V3.1" "Pp3c1_33050V3.1" "Pp3c1_33120V3.1" "Pp3c1_33150V3.1"
+ [498] "Pp3c1_33300V3.1" "Pp3c1_33430V3.1" "Pp3c1_33440V3.1" "Pp3c1_33460V3.1" "Pp3c1_33470V3.1" "Pp3c1_33480V3.1" "Pp3c1_33530V3.1"
+ [505] "Pp3c1_33710V3.1" "Pp3c1_33790V3.1" "Pp3c1_33830V3.1" "Pp3c1_33890V3.1" "Pp3c1_34210V3.1" "Pp3c1_34240V3.1" "Pp3c1_34310V3.1"
+ [512] "Pp3c1_34390V3.1" "Pp3c1_34400V3.1" "Pp3c1_34410V3.1" "Pp3c1_34890V3.1" "Pp3c1_35100V3.1" "Pp3c1_35120V3.1" "Pp3c1_35170V3.1"
+ [519] "Pp3c1_35260V3.1" "Pp3c1_35350V3.1" "Pp3c1_35390V3.1" "Pp3c1_35410V3.1" "Pp3c1_35460V3.1" "Pp3c1_35630V3.1" "Pp3c1_35700V3.1"
+ [526] "Pp3c1_35930V3.1" "Pp3c1_35990V3.1" "Pp3c1_36000V3.1" "Pp3c1_36050V3.1" "Pp3c1_36070V3.1" "Pp3c1_36080V3.1" "Pp3c1_36100V3.1"
+ [533] "Pp3c1_36129V3.1" "Pp3c1_36270V3.1" "Pp3c1_36300V3.1" "Pp3c1_36330V3.1" "Pp3c1_36390V3.1" "Pp3c1_36400V3.1" "Pp3c1_36410V3.1"
+ [540] "Pp3c1_36440V3.1" "Pp3c1_36580V3.1" "Pp3c1_37070V3.1" "Pp3c1_37090V3.1" "Pp3c1_37110V3.1" "Pp3c1_37320V3.1" "Pp3c1_37360V3.1"
+ [547] "Pp3c1_37420V3.1" "Pp3c1_37460V3.1" "Pp3c1_37550V3.1" "Pp3c1_37660V3.1" "Pp3c1_37980V3.1" "Pp3c1_38210V3.1" "Pp3c1_38250V3.1"
+ [554] "Pp3c1_38340V3.1" "Pp3c1_38430V3.1" "Pp3c1_38440V3.1" "Pp3c1_38600V3.1" "Pp3c1_38630V3.1" "Pp3c1_38677V3.1" "Pp3c1_38770V3.1"
+ [561] "Pp3c1_38880V3.1" "Pp3c1_38950V3.1" "Pp3c1_38960V3.1" "Pp3c1_38970V3.1" "Pp3c1_39100V3.1" "Pp3c1_39120V3.1" "Pp3c1_39210V3.1"
+ [568] "Pp3c1_39340V3.1" "Pp3c1_39350V3.1" "Pp3c1_39460V3.1" "Pp3c1_39470V3.1" "Pp3c1_39540V3.1" "Pp3c1_39640V3.1" "Pp3c1_39760V3.1"
+ [575] "Pp3c1_39900V3.1" "Pp3c1_39920V3.1" "Pp3c1_39990V3.1" "Pp3c1_40230V3.1" "Pp3c1_40240V3.1" "Pp3c1_40270V3.1" "Pp3c1_40350V3.1"
+ [582] "Pp3c1_40490V3.1" "Pp3c1_40570V3.1" "Pp3c1_40610V3.1" "Pp3c1_40630V3.1" "Pp3c1_40650V3.1" "Pp3c1_40750V3.1" "Pp3c1_40790V3.1"
+ [589] "Pp3c1_40840V3.1" "Pp3c1_40870V3.1" "Pp3c1_41090V3.1" "Pp3c1_41170V3.1" "Pp3c1_41250V3.1" "Pp3c1_41270V3.1" "Pp3c1_41280V3.1"
+ [596] "Pp3c1_41310V3.1" "Pp3c1_41400V3.1" "Pp3c1_41520V3.1" "Pp3c1_41710V3.1" "Pp3c1_41830V3.1" "Pp3c1_41900V3.1" "Pp3c1_41910V3.1"
+ [603] "Pp3c1_42010V3.1" "Pp3c1_42020V3.1" "Pp3c1_42090V3.1" "Pp3c1_42400V3.1" "Pp3c1_42450V3.1" "Pp3c1_42570V3.1" "Pp3c1_42650V3.1"
+ [610] "Pp3c1_42710V3.1" "Pp3c1_42740V3.1" "Pp3c1_42830V3.1" "Pp3c1_42870V3.1" "Pp3c1_42880V3.1" "Pp3c2_150V3.1"   "Pp3c2_181V3.1"  
+ [617] "Pp3c2_200V3.1"   "Pp3c2_260V3.1"   "Pp3c2_380V3.1"   "Pp3c2_530V3.1"   "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_610V3.1"  
+ [624] "Pp3c2_620V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1"  "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1"  "Pp3c2_1280V3.1" 
+ [631] "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1630V3.1"  "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_1920V3.1" 
+ [638] "Pp3c2_1940V3.1"  "Pp3c2_1951V3.1"  "Pp3c2_2070V3.1"  "Pp3c2_2120V3.1"  "Pp3c2_2150V3.1"  "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1" 
+ [645] "Pp3c2_2310V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2569V3.1"  "Pp3c2_2575V3.1"  "Pp3c2_2700V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1" 
+ [652] "Pp3c2_2780V3.1"  "Pp3c2_2790V3.1"  "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1"  "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3190V3.1" 
+ [659] "Pp3c2_3210V3.1"  "Pp3c2_3220V3.1"  "Pp3c2_3370V3.1"  "Pp3c2_3470V3.1"  "Pp3c2_3480V3.1"  "Pp3c2_3600V3.1"  "Pp3c2_3670V3.1" 
+ [666] "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3800V3.1"  "Pp3c2_3850V3.1"  "Pp3c2_3880V3.1"  "Pp3c2_4100V3.1"  "Pp3c2_4120V3.1" 
+ [673] "Pp3c2_4180V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1"  "Pp3c2_4270V3.1"  "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1" 
+ [680] "Pp3c2_4500V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4610V3.1"  "Pp3c2_4650V3.1"  "Pp3c2_4660V3.1"  "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1" 
+ [687] "Pp3c2_4790V3.1"  "Pp3c2_5130V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1"  "Pp3c2_5310V3.1"  "Pp3c2_5400V3.1"  "Pp3c2_5440V3.1" 
+ [694] "Pp3c2_5450V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5520V3.1"  "Pp3c2_5560V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1" 
+ [701] "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1"  "Pp3c2_5990V3.1"  "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6132V3.1"  "Pp3c2_6160V3.1" 
+ [708] "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1"  "Pp3c2_6370V3.1"  "Pp3c2_6410V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1" 
+ [715] "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1"  "Pp3c2_6740V3.1"  "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1" 
+ [722] "Pp3c2_7120V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7480V3.1"  "Pp3c2_7620V3.1"  "Pp3c2_7760V3.1"  "Pp3c2_7790V3.1"  "Pp3c2_7810V3.1" 
+ [729] "Pp3c2_7910V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1"  "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1" 
+ [736] "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1"  "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8880V3.1" 
+ [743] "Pp3c2_8960V3.1"  "Pp3c2_9020V3.1"  "Pp3c2_9080V3.1"  "Pp3c2_9140V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1" 
+ [750] "Pp3c2_9470V3.1"  "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9790V3.1"  "Pp3c2_9813V3.1"  "Pp3c2_9820V3.1" 
+ [757] "Pp3c2_9830V3.1"  "Pp3c2_9850V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1"  "Pp3c2_9980V3.1"  "Pp3c2_10070V3.1" "Pp3c2_10100V3.1"
+ [764] "Pp3c2_10220V3.1" "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10350V3.1" "Pp3c2_10530V3.1" "Pp3c2_10610V3.1"
+ [771] "Pp3c2_10630V3.1" "Pp3c2_10900V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1"
+ [778] "Pp3c2_11310V3.1" "Pp3c2_11370V3.1" "Pp3c2_11380V3.1" "Pp3c2_11410V3.1" "Pp3c2_11490V3.1" "Pp3c2_11540V3.1" "Pp3c2_11670V3.1"
+ [785] "Pp3c2_11730V3.1" "Pp3c2_11820V3.1" "Pp3c2_11850V3.1" "Pp3c2_11870V3.1" "Pp3c2_11890V3.1" "Pp3c2_12080V3.1" "Pp3c2_12120V3.1"
+ [792] "Pp3c2_12150V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12320V3.1" "Pp3c2_12550V3.1" "Pp3c2_12620V3.1" "Pp3c2_12670V3.1"
+ [799] "Pp3c2_12680V3.1" "Pp3c2_12740V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1" "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13300V3.1"
+ [806] "Pp3c2_13330V3.1" "Pp3c2_13370V3.1" "Pp3c2_13400V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [813] "Pp3c2_13670V3.1" "Pp3c2_13690V3.1" "Pp3c2_13790V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13930V3.1"
+ [820] "Pp3c2_13970V3.1" "Pp3c2_14050V3.1" "Pp3c2_14060V3.1" "Pp3c2_14090V3.1" "Pp3c2_14120V3.1" "Pp3c2_14160V3.1" "Pp3c2_14270V3.1"
+ [827] "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14410V3.1" "Pp3c2_14470V3.1" "Pp3c2_14510V3.1"
+ [834] "Pp3c2_14520V3.1" "Pp3c2_14560V3.1" "Pp3c2_14570V3.1" "Pp3c2_14600V3.1" "Pp3c2_14610V3.1" "Pp3c2_14800V3.1" "Pp3c2_14820V3.1"
+ [841] "Pp3c2_14930V3.1" "Pp3c2_15020V3.1" "Pp3c2_15060V3.1" "Pp3c2_15140V3.1" "Pp3c2_15180V3.1" "Pp3c2_15200V3.1" "Pp3c2_15250V3.1"
+ [848] "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15470V3.1" "Pp3c2_15480V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [855] "Pp3c2_15820V3.1" "Pp3c2_15860V3.1" "Pp3c2_15900V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [862] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16330V3.1" "Pp3c2_16610V3.1" "Pp3c2_16660V3.1" "Pp3c2_16671V3.1" "Pp3c2_16680V3.1"
+ [869] "Pp3c2_16720V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1" "Pp3c2_16950V3.1" "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17070V3.1"
+ [876] "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17160V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1" "Pp3c2_17380V3.1"
+ [883] "Pp3c2_17390V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [890] "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_17910V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18130V3.1" "Pp3c2_18140V3.1"
+ [897] "Pp3c2_18330V3.1" "Pp3c2_18450V3.1" "Pp3c2_18480V3.1" "Pp3c2_18510V3.1" "Pp3c2_18520V3.1" "Pp3c2_18540V3.1" "Pp3c2_18600V3.1"
+ [904] "Pp3c2_18620V3.1" "Pp3c2_18630V3.1" "Pp3c2_18840V3.1" "Pp3c2_18850V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1" "Pp3c2_19250V3.1"
+ [911] "Pp3c2_19260V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1" "Pp3c2_19430V3.1" "Pp3c2_19520V3.1"
+ [918] "Pp3c2_19550V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19690V3.1" "Pp3c2_19700V3.1" "Pp3c2_19730V3.1" "Pp3c2_19940V3.1"
+ [925] "Pp3c2_19950V3.1" "Pp3c2_19980V3.1" "Pp3c2_20030V3.1" "Pp3c2_20120V3.1" "Pp3c2_20130V3.1" "Pp3c2_20141V3.1" "Pp3c2_20240V3.1"
+ [932] "Pp3c2_20320V3.1" "Pp3c2_20330V3.1" "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1"
+ [939] "Pp3c2_20840V3.1" "Pp3c2_20850V3.1" "Pp3c2_20860V3.1" "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21110V3.1" "Pp3c2_21260V3.1"
+ [946] "Pp3c2_21270V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21370V3.1" "Pp3c2_21470V3.1" "Pp3c2_21590V3.1" "Pp3c2_21600V3.1"
+ [953] "Pp3c2_21660V3.1" "Pp3c2_21670V3.1" "Pp3c2_21710V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22120V3.1"
+ [960] "Pp3c2_22140V3.1" "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22540V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1"
+ [967] "Pp3c2_23140V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23320V3.1" "Pp3c2_23690V3.1" "Pp3c2_23750V3.1"
+ [974] "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_23960V3.1" "Pp3c2_24100V3.1" "Pp3c2_24110V3.1" "Pp3c2_24130V3.1" "Pp3c2_24150V3.1"
+ [981] "Pp3c2_24160V3.1" "Pp3c2_24230V3.1" "Pp3c2_24270V3.1" "Pp3c2_24620V3.1" "Pp3c2_24640V3.1" "Pp3c2_24670V3.1" "Pp3c2_24723V3.1"
+ [988] "Pp3c2_24761V3.1" "Pp3c2_24840V3.1" "Pp3c2_24870V3.1" "Pp3c2_24880V3.1" "Pp3c2_24910V3.1" "Pp3c2_25000V3.1" "Pp3c2_25160V3.1"
+ [995] "Pp3c2_25170V3.1" "Pp3c2_25440V3.1" "Pp3c2_25580V3.1" "Pp3c2_25620V3.1" "Pp3c2_25690V3.1" "Pp3c2_25720V3.1"
+ [ reached getOption("max.print") -- omitted 8089 entries ]
+[1] "DEGs intersection with direction check"
+[1] 9089
+   [1] "Pp3c1_40V3.1"    "Pp3c1_70V3.1"    "Pp3c1_190V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_400V3.1"   "Pp3c1_430V3.1"  
+   [8] "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"   "Pp3c1_680V3.1"   "Pp3c1_690V3.1"   "Pp3c1_890V3.1"  
+  [15] "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1240V3.1"  "Pp3c1_1260V3.1"  "Pp3c1_1330V3.1" 
+  [22] "Pp3c1_1360V3.1"  "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1790V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1" 
+  [29] "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2390V3.1" 
+  [36] "Pp3c1_2420V3.1"  "Pp3c1_2510V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_2740V3.1"  "Pp3c1_2770V3.1"  "Pp3c1_2880V3.1"  "Pp3c1_2920V3.1" 
+  [43] "Pp3c1_2960V3.1"  "Pp3c1_2980V3.1"  "Pp3c1_3040V3.1"  "Pp3c1_3140V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1" 
+  [50] "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3260V3.1"  "Pp3c1_3300V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3520V3.1"  "Pp3c1_3590V3.1" 
+  [57] "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3730V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_3890V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1" 
+  [64] "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4400V3.1"  "Pp3c1_4470V3.1" 
+  [71] "Pp3c1_4510V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4750V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [78] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_5850V3.1"  "Pp3c1_5870V3.1" 
+  [85] "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6120V3.1"  "Pp3c1_6130V3.1"  "Pp3c1_6272V3.1" 
+  [92] "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1"  "Pp3c1_6480V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6570V3.1" 
+  [99] "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_6950V3.1"  "Pp3c1_7010V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7090V3.1" 
+ [106] "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7220V3.1"  "Pp3c1_7300V3.1"  "Pp3c1_7360V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1" 
+ [113] "Pp3c1_7390V3.1"  "Pp3c1_7430V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1" 
+ [120] "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7880V3.1"  "Pp3c1_7950V3.1" 
+ [127] "Pp3c1_8060V3.1"  "Pp3c1_8080V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1" 
+ [134] "Pp3c1_8290V3.1"  "Pp3c1_8400V3.1"  "Pp3c1_8450V3.1"  "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1" 
+ [141] "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9630V3.1" 
+ [148] "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9896V3.1"  "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10040V3.1" "Pp3c1_10080V3.1"
+ [155] "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10200V3.1" "Pp3c1_10220V3.1" "Pp3c1_10400V3.1" "Pp3c1_10470V3.1" "Pp3c1_10530V3.1"
+ [162] "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1" "Pp3c1_10630V3.1" "Pp3c1_10760V3.1" "Pp3c1_10810V3.1" "Pp3c1_10830V3.1"
+ [169] "Pp3c1_10880V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1" "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1" "Pp3c1_11420V3.1"
+ [176] "Pp3c1_11980V3.1" "Pp3c1_12020V3.1" "Pp3c1_12100V3.1" "Pp3c1_12120V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12560V3.1"
+ [183] "Pp3c1_12610V3.1" "Pp3c1_12630V3.1" "Pp3c1_12730V3.1" "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1"
+ [190] "Pp3c1_12940V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1" "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1"
+ [197] "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13800V3.1" "Pp3c1_13830V3.1" "Pp3c1_13910V3.1" "Pp3c1_14230V3.1" "Pp3c1_14330V3.1"
+ [204] "Pp3c1_14380V3.1" "Pp3c1_14540V3.1" "Pp3c1_14670V3.1" "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1"
+ [211] "Pp3c1_14870V3.1" "Pp3c1_14880V3.1" "Pp3c1_14910V3.1" "Pp3c1_14920V3.1" "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15090V3.1"
+ [218] "Pp3c1_15100V3.1" "Pp3c1_15110V3.1" "Pp3c1_15130V3.1" "Pp3c1_15150V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1"
+ [225] "Pp3c1_15410V3.1" "Pp3c1_15440V3.1" "Pp3c1_15460V3.1" "Pp3c1_15560V3.1" "Pp3c1_15690V3.1" "Pp3c1_15730V3.1" "Pp3c1_15750V3.1"
+ [232] "Pp3c1_15940V3.1" "Pp3c1_16170V3.1" "Pp3c1_16250V3.1" "Pp3c1_16500V3.1" "Pp3c1_16600V3.1" "Pp3c1_16780V3.1" "Pp3c1_16840V3.1"
+ [239] "Pp3c1_16850V3.1" "Pp3c1_16900V3.1" "Pp3c1_16980V3.1" "Pp3c1_17080V3.1" "Pp3c1_17220V3.1" "Pp3c1_17370V3.1" "Pp3c1_17860V3.1"
+ [246] "Pp3c1_17870V3.1" "Pp3c1_18130V3.1" "Pp3c1_18150V3.1" "Pp3c1_18260V3.1" "Pp3c1_18280V3.1" "Pp3c1_18420V3.1" "Pp3c1_18440V3.1"
+ [253] "Pp3c1_18460V3.1" "Pp3c1_18530V3.1" "Pp3c1_18830V3.1" "Pp3c1_18860V3.1" "Pp3c1_18910V3.1" "Pp3c1_18940V3.1" "Pp3c1_19060V3.1"
+ [260] "Pp3c1_19176V3.1" "Pp3c1_19200V3.1" "Pp3c1_19210V3.1" "Pp3c1_19230V3.1" "Pp3c1_19240V3.1" "Pp3c1_19310V3.1" "Pp3c1_19370V3.1"
+ [267] "Pp3c1_19400V3.1" "Pp3c1_19660V3.1" "Pp3c1_20010V3.1" "Pp3c1_20040V3.1" "Pp3c1_20050V3.1" "Pp3c1_20280V3.1" "Pp3c1_20310V3.1"
+ [274] "Pp3c1_20350V3.1" "Pp3c1_20430V3.1" "Pp3c1_20640V3.1" "Pp3c1_20690V3.1" "Pp3c1_20700V3.1" "Pp3c1_20710V3.1" "Pp3c1_20753V3.1"
+ [281] "Pp3c1_20770V3.1" "Pp3c1_20790V3.1" "Pp3c1_20810V3.1" "Pp3c1_20870V3.1" "Pp3c1_20880V3.1" "Pp3c1_20960V3.1" "Pp3c1_20980V3.1"
+ [288] "Pp3c1_21050V3.1" "Pp3c1_21110V3.1" "Pp3c1_21160V3.1" "Pp3c1_21200V3.1" "Pp3c1_21230V3.1" "Pp3c1_21270V3.1" "Pp3c1_21290V3.1"
+ [295] "Pp3c1_21360V3.1" "Pp3c1_21400V3.1" "Pp3c1_21480V3.1" "Pp3c1_21510V3.1" "Pp3c1_21540V3.1" "Pp3c1_21550V3.1" "Pp3c1_21620V3.1"
+ [302] "Pp3c1_21650V3.1" "Pp3c1_21730V3.1" "Pp3c1_21760V3.1" "Pp3c1_21810V3.1" "Pp3c1_21850V3.1" "Pp3c1_21890V3.1" "Pp3c1_21920V3.1"
+ [309] "Pp3c1_22040V3.1" "Pp3c1_22090V3.1" "Pp3c1_22120V3.1" "Pp3c1_22260V3.1" "Pp3c1_22300V3.1" "Pp3c1_22360V3.1" "Pp3c1_22450V3.1"
+ [316] "Pp3c1_22500V3.1" "Pp3c1_22520V3.1" "Pp3c1_22540V3.1" "Pp3c1_22560V3.1" "Pp3c1_22590V3.1" "Pp3c1_22690V3.1" "Pp3c1_22710V3.1"
+ [323] "Pp3c1_22820V3.1" "Pp3c1_22900V3.1" "Pp3c1_22950V3.1" "Pp3c1_23000V3.1" "Pp3c1_23010V3.1" "Pp3c1_23020V3.1" "Pp3c1_23040V3.1"
+ [330] "Pp3c1_23190V3.1" "Pp3c1_23260V3.1" "Pp3c1_23300V3.1" "Pp3c1_23410V3.1" "Pp3c1_23460V3.1" "Pp3c1_23490V3.1" "Pp3c1_23520V3.1"
+ [337] "Pp3c1_23590V3.1" "Pp3c1_23600V3.1" "Pp3c1_23670V3.1" "Pp3c1_23680V3.1" "Pp3c1_23750V3.1" "Pp3c1_23850V3.1" "Pp3c1_23900V3.1"
+ [344] "Pp3c1_23920V3.1" "Pp3c1_23930V3.1" "Pp3c1_23940V3.1" "Pp3c1_23960V3.1" "Pp3c1_23970V3.1" "Pp3c1_24000V3.1" "Pp3c1_24090V3.1"
+ [351] "Pp3c1_24120V3.1" "Pp3c1_24300V3.1" "Pp3c1_24350V3.1" "Pp3c1_24420V3.1" "Pp3c1_24440V3.1" "Pp3c1_24500V3.1" "Pp3c1_24560V3.1"
+ [358] "Pp3c1_24600V3.1" "Pp3c1_24660V3.1" "Pp3c1_24700V3.1" "Pp3c1_24790V3.1" "Pp3c1_24820V3.1" "Pp3c1_24890V3.1" "Pp3c1_24950V3.1"
+ [365] "Pp3c1_25000V3.1" "Pp3c1_25070V3.1" "Pp3c1_25080V3.1" "Pp3c1_25290V3.1" "Pp3c1_25400V3.1" "Pp3c1_25410V3.1" "Pp3c1_25450V3.1"
+ [372] "Pp3c1_25640V3.1" "Pp3c1_25660V3.1" "Pp3c1_25700V3.1" "Pp3c1_25750V3.1" "Pp3c1_25770V3.1" "Pp3c1_25850V3.1" "Pp3c1_25920V3.1"
+ [379] "Pp3c1_25940V3.1" "Pp3c1_25970V3.1" "Pp3c1_25980V3.1" "Pp3c1_26200V3.1" "Pp3c1_26270V3.1" "Pp3c1_26350V3.1" "Pp3c1_26720V3.1"
+ [386] "Pp3c1_26730V3.1" "Pp3c1_26740V3.1" "Pp3c1_26750V3.1" "Pp3c1_26780V3.1" "Pp3c1_27020V3.1" "Pp3c1_27160V3.1" "Pp3c1_27170V3.1"
+ [393] "Pp3c1_27180V3.1" "Pp3c1_27230V3.1" "Pp3c1_27270V3.1" "Pp3c1_27440V3.1" "Pp3c1_27510V3.1" "Pp3c1_27630V3.1" "Pp3c1_27830V3.1"
+ [400] "Pp3c1_27990V3.1" "Pp3c1_28060V3.1" "Pp3c1_28110V3.1" "Pp3c1_28200V3.1" "Pp3c1_28340V3.1" "Pp3c1_28370V3.1" "Pp3c1_28390V3.1"
+ [407] "Pp3c1_28430V3.1" "Pp3c1_28480V3.1" "Pp3c1_28560V3.1" "Pp3c1_28630V3.1" "Pp3c1_28680V3.1" "Pp3c1_28690V3.1" "Pp3c1_28730V3.1"
+ [414] "Pp3c1_28750V3.1" "Pp3c1_28760V3.1" "Pp3c1_28770V3.1" "Pp3c1_29030V3.1" "Pp3c1_29050V3.1" "Pp3c1_29070V3.1" "Pp3c1_29090V3.1"
+ [421] "Pp3c1_29160V3.1" "Pp3c1_29380V3.1" "Pp3c1_29390V3.1" "Pp3c1_29440V3.1" "Pp3c1_29460V3.1" "Pp3c1_29500V3.1" "Pp3c1_29560V3.1"
+ [428] "Pp3c1_29600V3.1" "Pp3c1_29630V3.1" "Pp3c1_29650V3.1" "Pp3c1_29660V3.1" "Pp3c1_29770V3.1" "Pp3c1_29810V3.1" "Pp3c1_29970V3.1"
+ [435] "Pp3c1_30080V3.1" "Pp3c1_30090V3.1" "Pp3c1_30120V3.1" "Pp3c1_30130V3.1" "Pp3c1_30150V3.1" "Pp3c1_30400V3.1" "Pp3c1_30410V3.1"
+ [442] "Pp3c1_30550V3.1" "Pp3c1_30570V3.1" "Pp3c1_30620V3.1" "Pp3c1_30640V3.1" "Pp3c1_30660V3.1" "Pp3c1_30730V3.1" "Pp3c1_30760V3.1"
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+ [456] "Pp3c1_31540V3.1" "Pp3c1_31630V3.1" "Pp3c1_31680V3.1" "Pp3c1_31720V3.1" "Pp3c1_31730V3.1" "Pp3c1_31830V3.1" "Pp3c1_31850V3.1"
+ [463] "Pp3c1_31930V3.1" "Pp3c1_32070V3.1" "Pp3c1_32090V3.1" "Pp3c1_32120V3.1" "Pp3c1_32170V3.1" "Pp3c1_32190V3.1" "Pp3c1_32200V3.1"
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+ [477] "Pp3c1_32390V3.1" "Pp3c1_32410V3.1" "Pp3c1_32440V3.1" "Pp3c1_32490V3.1" "Pp3c1_32520V3.1" "Pp3c1_32570V3.1" "Pp3c1_32600V3.1"
+ [484] "Pp3c1_32740V3.1" "Pp3c1_32750V3.1" "Pp3c1_32760V3.1" "Pp3c1_32770V3.1" "Pp3c1_32810V3.1" "Pp3c1_32850V3.1" "Pp3c1_32910V3.1"
+ [491] "Pp3c1_32920V3.1" "Pp3c1_32943V3.1" "Pp3c1_32960V3.1" "Pp3c1_33030V3.1" "Pp3c1_33050V3.1" "Pp3c1_33120V3.1" "Pp3c1_33150V3.1"
+ [498] "Pp3c1_33300V3.1" "Pp3c1_33430V3.1" "Pp3c1_33440V3.1" "Pp3c1_33460V3.1" "Pp3c1_33470V3.1" "Pp3c1_33480V3.1" "Pp3c1_33530V3.1"
+ [505] "Pp3c1_33710V3.1" "Pp3c1_33790V3.1" "Pp3c1_33830V3.1" "Pp3c1_33890V3.1" "Pp3c1_34210V3.1" "Pp3c1_34240V3.1" "Pp3c1_34310V3.1"
+ [512] "Pp3c1_34390V3.1" "Pp3c1_34400V3.1" "Pp3c1_34410V3.1" "Pp3c1_34890V3.1" "Pp3c1_35100V3.1" "Pp3c1_35120V3.1" "Pp3c1_35170V3.1"
+ [519] "Pp3c1_35260V3.1" "Pp3c1_35350V3.1" "Pp3c1_35390V3.1" "Pp3c1_35410V3.1" "Pp3c1_35460V3.1" "Pp3c1_35630V3.1" "Pp3c1_35700V3.1"
+ [526] "Pp3c1_35930V3.1" "Pp3c1_35990V3.1" "Pp3c1_36000V3.1" "Pp3c1_36050V3.1" "Pp3c1_36070V3.1" "Pp3c1_36080V3.1" "Pp3c1_36100V3.1"
+ [533] "Pp3c1_36129V3.1" "Pp3c1_36270V3.1" "Pp3c1_36300V3.1" "Pp3c1_36330V3.1" "Pp3c1_36390V3.1" "Pp3c1_36400V3.1" "Pp3c1_36410V3.1"
+ [540] "Pp3c1_36440V3.1" "Pp3c1_36580V3.1" "Pp3c1_37070V3.1" "Pp3c1_37090V3.1" "Pp3c1_37110V3.1" "Pp3c1_37320V3.1" "Pp3c1_37360V3.1"
+ [547] "Pp3c1_37420V3.1" "Pp3c1_37460V3.1" "Pp3c1_37550V3.1" "Pp3c1_37660V3.1" "Pp3c1_37980V3.1" "Pp3c1_38210V3.1" "Pp3c1_38250V3.1"
+ [554] "Pp3c1_38340V3.1" "Pp3c1_38430V3.1" "Pp3c1_38440V3.1" "Pp3c1_38600V3.1" "Pp3c1_38630V3.1" "Pp3c1_38677V3.1" "Pp3c1_38770V3.1"
+ [561] "Pp3c1_38880V3.1" "Pp3c1_38950V3.1" "Pp3c1_38960V3.1" "Pp3c1_38970V3.1" "Pp3c1_39100V3.1" "Pp3c1_39120V3.1" "Pp3c1_39210V3.1"
+ [568] "Pp3c1_39340V3.1" "Pp3c1_39350V3.1" "Pp3c1_39460V3.1" "Pp3c1_39470V3.1" "Pp3c1_39540V3.1" "Pp3c1_39640V3.1" "Pp3c1_39760V3.1"
+ [575] "Pp3c1_39900V3.1" "Pp3c1_39920V3.1" "Pp3c1_39990V3.1" "Pp3c1_40230V3.1" "Pp3c1_40240V3.1" "Pp3c1_40270V3.1" "Pp3c1_40350V3.1"
+ [582] "Pp3c1_40490V3.1" "Pp3c1_40570V3.1" "Pp3c1_40610V3.1" "Pp3c1_40630V3.1" "Pp3c1_40650V3.1" "Pp3c1_40750V3.1" "Pp3c1_40790V3.1"
+ [589] "Pp3c1_40840V3.1" "Pp3c1_40870V3.1" "Pp3c1_41090V3.1" "Pp3c1_41170V3.1" "Pp3c1_41250V3.1" "Pp3c1_41270V3.1" "Pp3c1_41280V3.1"
+ [596] "Pp3c1_41310V3.1" "Pp3c1_41400V3.1" "Pp3c1_41520V3.1" "Pp3c1_41710V3.1" "Pp3c1_41830V3.1" "Pp3c1_41900V3.1" "Pp3c1_41910V3.1"
+ [603] "Pp3c1_42010V3.1" "Pp3c1_42020V3.1" "Pp3c1_42090V3.1" "Pp3c1_42400V3.1" "Pp3c1_42450V3.1" "Pp3c1_42570V3.1" "Pp3c1_42650V3.1"
+ [610] "Pp3c1_42710V3.1" "Pp3c1_42740V3.1" "Pp3c1_42830V3.1" "Pp3c1_42870V3.1" "Pp3c1_42880V3.1" "Pp3c2_150V3.1"   "Pp3c2_181V3.1"  
+ [617] "Pp3c2_200V3.1"   "Pp3c2_260V3.1"   "Pp3c2_380V3.1"   "Pp3c2_530V3.1"   "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_610V3.1"  
+ [624] "Pp3c2_620V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1"  "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1"  "Pp3c2_1280V3.1" 
+ [631] "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1630V3.1"  "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_1920V3.1" 
+ [638] "Pp3c2_1940V3.1"  "Pp3c2_1951V3.1"  "Pp3c2_2070V3.1"  "Pp3c2_2120V3.1"  "Pp3c2_2150V3.1"  "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1" 
+ [645] "Pp3c2_2310V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2569V3.1"  "Pp3c2_2575V3.1"  "Pp3c2_2700V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1" 
+ [652] "Pp3c2_2780V3.1"  "Pp3c2_2790V3.1"  "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1"  "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3190V3.1" 
+ [659] "Pp3c2_3210V3.1"  "Pp3c2_3220V3.1"  "Pp3c2_3370V3.1"  "Pp3c2_3470V3.1"  "Pp3c2_3480V3.1"  "Pp3c2_3600V3.1"  "Pp3c2_3670V3.1" 
+ [666] "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3800V3.1"  "Pp3c2_3850V3.1"  "Pp3c2_3880V3.1"  "Pp3c2_4100V3.1"  "Pp3c2_4120V3.1" 
+ [673] "Pp3c2_4180V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1"  "Pp3c2_4270V3.1"  "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1" 
+ [680] "Pp3c2_4500V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4610V3.1"  "Pp3c2_4650V3.1"  "Pp3c2_4660V3.1"  "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1" 
+ [687] "Pp3c2_4790V3.1"  "Pp3c2_5130V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1"  "Pp3c2_5310V3.1"  "Pp3c2_5400V3.1"  "Pp3c2_5440V3.1" 
+ [694] "Pp3c2_5450V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5520V3.1"  "Pp3c2_5560V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1" 
+ [701] "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1"  "Pp3c2_5990V3.1"  "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6132V3.1"  "Pp3c2_6160V3.1" 
+ [708] "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1"  "Pp3c2_6370V3.1"  "Pp3c2_6410V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1" 
+ [715] "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1"  "Pp3c2_6740V3.1"  "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1" 
+ [722] "Pp3c2_7120V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7480V3.1"  "Pp3c2_7620V3.1"  "Pp3c2_7760V3.1"  "Pp3c2_7790V3.1"  "Pp3c2_7810V3.1" 
+ [729] "Pp3c2_7910V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1"  "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1" 
+ [736] "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1"  "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8880V3.1" 
+ [743] "Pp3c2_8960V3.1"  "Pp3c2_9020V3.1"  "Pp3c2_9080V3.1"  "Pp3c2_9140V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1" 
+ [750] "Pp3c2_9470V3.1"  "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9790V3.1"  "Pp3c2_9813V3.1"  "Pp3c2_9820V3.1" 
+ [757] "Pp3c2_9830V3.1"  "Pp3c2_9850V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1"  "Pp3c2_9980V3.1"  "Pp3c2_10070V3.1" "Pp3c2_10100V3.1"
+ [764] "Pp3c2_10220V3.1" "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10350V3.1" "Pp3c2_10530V3.1" "Pp3c2_10610V3.1"
+ [771] "Pp3c2_10630V3.1" "Pp3c2_10900V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1"
+ [778] "Pp3c2_11310V3.1" "Pp3c2_11370V3.1" "Pp3c2_11380V3.1" "Pp3c2_11410V3.1" "Pp3c2_11490V3.1" "Pp3c2_11540V3.1" "Pp3c2_11670V3.1"
+ [785] "Pp3c2_11730V3.1" "Pp3c2_11820V3.1" "Pp3c2_11850V3.1" "Pp3c2_11870V3.1" "Pp3c2_11890V3.1" "Pp3c2_12080V3.1" "Pp3c2_12120V3.1"
+ [792] "Pp3c2_12150V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12320V3.1" "Pp3c2_12550V3.1" "Pp3c2_12620V3.1" "Pp3c2_12670V3.1"
+ [799] "Pp3c2_12680V3.1" "Pp3c2_12740V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1" "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13300V3.1"
+ [806] "Pp3c2_13330V3.1" "Pp3c2_13370V3.1" "Pp3c2_13400V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [813] "Pp3c2_13670V3.1" "Pp3c2_13690V3.1" "Pp3c2_13790V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13930V3.1"
+ [820] "Pp3c2_13970V3.1" "Pp3c2_14050V3.1" "Pp3c2_14060V3.1" "Pp3c2_14090V3.1" "Pp3c2_14120V3.1" "Pp3c2_14160V3.1" "Pp3c2_14270V3.1"
+ [827] "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14410V3.1" "Pp3c2_14470V3.1" "Pp3c2_14510V3.1"
+ [834] "Pp3c2_14520V3.1" "Pp3c2_14560V3.1" "Pp3c2_14570V3.1" "Pp3c2_14600V3.1" "Pp3c2_14610V3.1" "Pp3c2_14800V3.1" "Pp3c2_14820V3.1"
+ [841] "Pp3c2_14930V3.1" "Pp3c2_15020V3.1" "Pp3c2_15060V3.1" "Pp3c2_15140V3.1" "Pp3c2_15180V3.1" "Pp3c2_15200V3.1" "Pp3c2_15250V3.1"
+ [848] "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15470V3.1" "Pp3c2_15480V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [855] "Pp3c2_15820V3.1" "Pp3c2_15860V3.1" "Pp3c2_15900V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [862] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16330V3.1" "Pp3c2_16610V3.1" "Pp3c2_16660V3.1" "Pp3c2_16671V3.1" "Pp3c2_16680V3.1"
+ [869] "Pp3c2_16720V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1" "Pp3c2_16950V3.1" "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17070V3.1"
+ [876] "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17160V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1" "Pp3c2_17380V3.1"
+ [883] "Pp3c2_17390V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [890] "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_17910V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18130V3.1" "Pp3c2_18140V3.1"
+ [897] "Pp3c2_18330V3.1" "Pp3c2_18450V3.1" "Pp3c2_18480V3.1" "Pp3c2_18510V3.1" "Pp3c2_18520V3.1" "Pp3c2_18540V3.1" "Pp3c2_18600V3.1"
+ [904] "Pp3c2_18620V3.1" "Pp3c2_18630V3.1" "Pp3c2_18840V3.1" "Pp3c2_18850V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1" "Pp3c2_19250V3.1"
+ [911] "Pp3c2_19260V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1" "Pp3c2_19430V3.1" "Pp3c2_19520V3.1"
+ [918] "Pp3c2_19550V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19690V3.1" "Pp3c2_19700V3.1" "Pp3c2_19730V3.1" "Pp3c2_19940V3.1"
+ [925] "Pp3c2_19950V3.1" "Pp3c2_19980V3.1" "Pp3c2_20030V3.1" "Pp3c2_20120V3.1" "Pp3c2_20130V3.1" "Pp3c2_20141V3.1" "Pp3c2_20240V3.1"
+ [932] "Pp3c2_20320V3.1" "Pp3c2_20330V3.1" "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1"
+ [939] "Pp3c2_20840V3.1" "Pp3c2_20850V3.1" "Pp3c2_20860V3.1" "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21110V3.1" "Pp3c2_21260V3.1"
+ [946] "Pp3c2_21270V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21370V3.1" "Pp3c2_21470V3.1" "Pp3c2_21590V3.1" "Pp3c2_21600V3.1"
+ [953] "Pp3c2_21660V3.1" "Pp3c2_21670V3.1" "Pp3c2_21710V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22120V3.1"
+ [960] "Pp3c2_22140V3.1" "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22540V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1"
+ [967] "Pp3c2_23140V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23320V3.1" "Pp3c2_23690V3.1" "Pp3c2_23750V3.1"
+ [974] "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_23960V3.1" "Pp3c2_24100V3.1" "Pp3c2_24110V3.1" "Pp3c2_24130V3.1" "Pp3c2_24150V3.1"
+ [981] "Pp3c2_24160V3.1" "Pp3c2_24230V3.1" "Pp3c2_24270V3.1" "Pp3c2_24620V3.1" "Pp3c2_24640V3.1" "Pp3c2_24670V3.1" "Pp3c2_24723V3.1"
+ [988] "Pp3c2_24761V3.1" "Pp3c2_24840V3.1" "Pp3c2_24870V3.1" "Pp3c2_24880V3.1" "Pp3c2_24910V3.1" "Pp3c2_25000V3.1" "Pp3c2_25160V3.1"
+ [995] "Pp3c2_25170V3.1" "Pp3c2_25440V3.1" "Pp3c2_25580V3.1" "Pp3c2_25620V3.1" "Pp3c2_25690V3.1" "Pp3c2_25720V3.1"
+ [ reached getOption("max.print") -- omitted 8089 entries ]
+[1] "DEGs edgeR"
+[1] 14938
+[1] "DEGs deseq2"
+[1] 13221
+[1] "DEGs noiseq"
+[1] 9419
+[1] "DEGs noiseqbio"
+[1] 10749
+[1] "DEGs intersection without direction check  (three methods)"
+[1] 9360
+   [1] "Pp3c1_40V3.1"    "Pp3c1_70V3.1"    "Pp3c1_190V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_400V3.1"   "Pp3c1_430V3.1"  
+   [8] "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"   "Pp3c1_680V3.1"   "Pp3c1_690V3.1"   "Pp3c1_890V3.1"  
+  [15] "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1240V3.1"  "Pp3c1_1260V3.1"  "Pp3c1_1330V3.1" 
+  [22] "Pp3c1_1360V3.1"  "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1790V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1" 
+  [29] "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2390V3.1" 
+  [36] "Pp3c1_2420V3.1"  "Pp3c1_2510V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_2740V3.1"  "Pp3c1_2770V3.1"  "Pp3c1_2880V3.1"  "Pp3c1_2920V3.1" 
+  [43] "Pp3c1_2960V3.1"  "Pp3c1_2980V3.1"  "Pp3c1_3040V3.1"  "Pp3c1_3140V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1" 
+  [50] "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3260V3.1"  "Pp3c1_3300V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3520V3.1"  "Pp3c1_3590V3.1" 
+  [57] "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3730V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_3890V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1" 
+  [64] "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4400V3.1"  "Pp3c1_4470V3.1" 
+  [71] "Pp3c1_4510V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4750V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [78] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_5850V3.1"  "Pp3c1_5860V3.1" 
+  [85] "Pp3c1_5870V3.1"  "Pp3c1_5970V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6120V3.1" 
+  [92] "Pp3c1_6130V3.1"  "Pp3c1_6272V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6380V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1" 
+  [99] "Pp3c1_6480V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6570V3.1"  "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_6950V3.1" 
+ [106] "Pp3c1_7010V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7090V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7220V3.1"  "Pp3c1_7300V3.1" 
+ [113] "Pp3c1_7360V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1"  "Pp3c1_7390V3.1"  "Pp3c1_7430V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1" 
+ [120] "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1" 
+ [127] "Pp3c1_7830V3.1"  "Pp3c1_7880V3.1"  "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1"  "Pp3c1_8080V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1" 
+ [134] "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1"  "Pp3c1_8290V3.1"  "Pp3c1_8400V3.1"  "Pp3c1_8440V3.1"  "Pp3c1_8450V3.1" 
+ [141] "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1" 
+ [148] "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9630V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9896V3.1" 
+ [155] "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10040V3.1" "Pp3c1_10080V3.1" "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10200V3.1"
+ [162] "Pp3c1_10220V3.1" "Pp3c1_10400V3.1" "Pp3c1_10470V3.1" "Pp3c1_10530V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1"
+ [169] "Pp3c1_10630V3.1" "Pp3c1_10760V3.1" "Pp3c1_10810V3.1" "Pp3c1_10830V3.1" "Pp3c1_10880V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1"
+ [176] "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1" "Pp3c1_11420V3.1" "Pp3c1_11980V3.1" "Pp3c1_12020V3.1" "Pp3c1_12100V3.1"
+ [183] "Pp3c1_12120V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12560V3.1" "Pp3c1_12610V3.1" "Pp3c1_12630V3.1" "Pp3c1_12730V3.1"
+ [190] "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1" "Pp3c1_12940V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1"
+ [197] "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1" "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13800V3.1"
+ [204] "Pp3c1_13830V3.1" "Pp3c1_13910V3.1" "Pp3c1_14230V3.1" "Pp3c1_14330V3.1" "Pp3c1_14380V3.1" "Pp3c1_14540V3.1" "Pp3c1_14670V3.1"
+ [211] "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1" "Pp3c1_14870V3.1" "Pp3c1_14880V3.1" "Pp3c1_14910V3.1"
+ [218] "Pp3c1_14920V3.1" "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15090V3.1" "Pp3c1_15100V3.1" "Pp3c1_15110V3.1" "Pp3c1_15130V3.1"
+ [225] "Pp3c1_15150V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1" "Pp3c1_15410V3.1" "Pp3c1_15440V3.1" "Pp3c1_15460V3.1"
+ [232] "Pp3c1_15560V3.1" "Pp3c1_15690V3.1" "Pp3c1_15730V3.1" "Pp3c1_15750V3.1" "Pp3c1_15940V3.1" "Pp3c1_16170V3.1" "Pp3c1_16250V3.1"
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+ [582] "Pp3c1_39210V3.1" "Pp3c1_39340V3.1" "Pp3c1_39350V3.1" "Pp3c1_39460V3.1" "Pp3c1_39470V3.1" "Pp3c1_39540V3.1" "Pp3c1_39640V3.1"
+ [589] "Pp3c1_39750V3.1" "Pp3c1_39760V3.1" "Pp3c1_39830V3.1" "Pp3c1_39900V3.1" "Pp3c1_39920V3.1" "Pp3c1_39990V3.1" "Pp3c1_40230V3.1"
+ [596] "Pp3c1_40240V3.1" "Pp3c1_40270V3.1" "Pp3c1_40350V3.1" "Pp3c1_40490V3.1" "Pp3c1_40570V3.1" "Pp3c1_40610V3.1" "Pp3c1_40630V3.1"
+ [603] "Pp3c1_40650V3.1" "Pp3c1_40750V3.1" "Pp3c1_40790V3.1" "Pp3c1_40840V3.1" "Pp3c1_40870V3.1" "Pp3c1_41090V3.1" "Pp3c1_41170V3.1"
+ [610] "Pp3c1_41250V3.1" "Pp3c1_41270V3.1" "Pp3c1_41280V3.1" "Pp3c1_41310V3.1" "Pp3c1_41400V3.1" "Pp3c1_41520V3.1" "Pp3c1_41710V3.1"
+ [617] "Pp3c1_41830V3.1" "Pp3c1_41900V3.1" "Pp3c1_41910V3.1" "Pp3c1_42010V3.1" "Pp3c1_42020V3.1" "Pp3c1_42090V3.1" "Pp3c1_42400V3.1"
+ [624] "Pp3c1_42450V3.1" "Pp3c1_42570V3.1" "Pp3c1_42650V3.1" "Pp3c1_42710V3.1" "Pp3c1_42740V3.1" "Pp3c1_42830V3.1" "Pp3c1_42870V3.1"
+ [631] "Pp3c1_42880V3.1" "Pp3c2_150V3.1"   "Pp3c2_181V3.1"   "Pp3c2_200V3.1"   "Pp3c2_260V3.1"   "Pp3c2_380V3.1"   "Pp3c2_530V3.1"  
+ [638] "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_610V3.1"   "Pp3c2_620V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1" 
+ [645] "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1"  "Pp3c2_1280V3.1"  "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1630V3.1" 
+ [652] "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_1920V3.1"  "Pp3c2_1940V3.1"  "Pp3c2_1951V3.1"  "Pp3c2_2070V3.1"  "Pp3c2_2120V3.1" 
+ [659] "Pp3c2_2150V3.1"  "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1"  "Pp3c2_2310V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2569V3.1"  "Pp3c2_2575V3.1" 
+ [666] "Pp3c2_2700V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1"  "Pp3c2_2780V3.1"  "Pp3c2_2790V3.1"  "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1" 
+ [673] "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3190V3.1"  "Pp3c2_3210V3.1"  "Pp3c2_3220V3.1"  "Pp3c2_3370V3.1"  "Pp3c2_3470V3.1" 
+ [680] "Pp3c2_3480V3.1"  "Pp3c2_3600V3.1"  "Pp3c2_3670V3.1"  "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3800V3.1"  "Pp3c2_3850V3.1" 
+ [687] "Pp3c2_3880V3.1"  "Pp3c2_4100V3.1"  "Pp3c2_4120V3.1"  "Pp3c2_4180V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1"  "Pp3c2_4270V3.1" 
+ [694] "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1"  "Pp3c2_4500V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4610V3.1"  "Pp3c2_4650V3.1" 
+ [701] "Pp3c2_4660V3.1"  "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1"  "Pp3c2_4790V3.1"  "Pp3c2_5130V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1" 
+ [708] "Pp3c2_5310V3.1"  "Pp3c2_5400V3.1"  "Pp3c2_5440V3.1"  "Pp3c2_5450V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5520V3.1" 
+ [715] "Pp3c2_5530V3.1"  "Pp3c2_5560V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1"  "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1"  "Pp3c2_5990V3.1" 
+ [722] "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6132V3.1"  "Pp3c2_6160V3.1"  "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1" 
+ [729] "Pp3c2_6370V3.1"  "Pp3c2_6410V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1"  "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1" 
+ [736] "Pp3c2_6740V3.1"  "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1"  "Pp3c2_7120V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7480V3.1" 
+ [743] "Pp3c2_7620V3.1"  "Pp3c2_7760V3.1"  "Pp3c2_7790V3.1"  "Pp3c2_7810V3.1"  "Pp3c2_7910V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1" 
+ [750] "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1"  "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1" 
+ [757] "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8840V3.1"  "Pp3c2_8880V3.1"  "Pp3c2_8960V3.1"  "Pp3c2_9020V3.1" 
+ [764] "Pp3c2_9080V3.1"  "Pp3c2_9140V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1"  "Pp3c2_9470V3.1"  "Pp3c2_9480V3.1" 
+ [771] "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9790V3.1"  "Pp3c2_9813V3.1"  "Pp3c2_9820V3.1"  "Pp3c2_9830V3.1" 
+ [778] "Pp3c2_9850V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1"  "Pp3c2_9980V3.1"  "Pp3c2_10070V3.1" "Pp3c2_10100V3.1" "Pp3c2_10220V3.1"
+ [785] "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10350V3.1" "Pp3c2_10530V3.1" "Pp3c2_10610V3.1" "Pp3c2_10630V3.1"
+ [792] "Pp3c2_10900V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1" "Pp3c2_11310V3.1"
+ [799] "Pp3c2_11370V3.1" "Pp3c2_11380V3.1" "Pp3c2_11410V3.1" "Pp3c2_11490V3.1" "Pp3c2_11540V3.1" "Pp3c2_11580V3.1" "Pp3c2_11670V3.1"
+ [806] "Pp3c2_11730V3.1" "Pp3c2_11820V3.1" "Pp3c2_11850V3.1" "Pp3c2_11870V3.1" "Pp3c2_11890V3.1" "Pp3c2_12080V3.1" "Pp3c2_12120V3.1"
+ [813] "Pp3c2_12150V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12320V3.1" "Pp3c2_12550V3.1" "Pp3c2_12620V3.1" "Pp3c2_12670V3.1"
+ [820] "Pp3c2_12680V3.1" "Pp3c2_12740V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1" "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13300V3.1"
+ [827] "Pp3c2_13330V3.1" "Pp3c2_13370V3.1" "Pp3c2_13400V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [834] "Pp3c2_13670V3.1" "Pp3c2_13690V3.1" "Pp3c2_13790V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13930V3.1"
+ [841] "Pp3c2_13970V3.1" "Pp3c2_14050V3.1" "Pp3c2_14060V3.1" "Pp3c2_14090V3.1" "Pp3c2_14120V3.1" "Pp3c2_14160V3.1" "Pp3c2_14270V3.1"
+ [848] "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14410V3.1" "Pp3c2_14470V3.1" "Pp3c2_14510V3.1"
+ [855] "Pp3c2_14520V3.1" "Pp3c2_14560V3.1" "Pp3c2_14570V3.1" "Pp3c2_14600V3.1" "Pp3c2_14610V3.1" "Pp3c2_14800V3.1" "Pp3c2_14820V3.1"
+ [862] "Pp3c2_14930V3.1" "Pp3c2_15020V3.1" "Pp3c2_15060V3.1" "Pp3c2_15140V3.1" "Pp3c2_15180V3.1" "Pp3c2_15200V3.1" "Pp3c2_15250V3.1"
+ [869] "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15470V3.1" "Pp3c2_15480V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [876] "Pp3c2_15820V3.1" "Pp3c2_15860V3.1" "Pp3c2_15900V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [883] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16330V3.1" "Pp3c2_16610V3.1" "Pp3c2_16660V3.1" "Pp3c2_16671V3.1" "Pp3c2_16680V3.1"
+ [890] "Pp3c2_16720V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1" "Pp3c2_16950V3.1" "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17070V3.1"
+ [897] "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17160V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1" "Pp3c2_17380V3.1"
+ [904] "Pp3c2_17390V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [911] "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_17910V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18130V3.1" "Pp3c2_18140V3.1"
+ [918] "Pp3c2_18330V3.1" "Pp3c2_18450V3.1" "Pp3c2_18480V3.1" "Pp3c2_18510V3.1" "Pp3c2_18520V3.1" "Pp3c2_18540V3.1" "Pp3c2_18600V3.1"
+ [925] "Pp3c2_18610V3.1" "Pp3c2_18620V3.1" "Pp3c2_18630V3.1" "Pp3c2_18840V3.1" "Pp3c2_18850V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1"
+ [932] "Pp3c2_19250V3.1" "Pp3c2_19260V3.1" "Pp3c2_19280V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1"
+ [939] "Pp3c2_19430V3.1" "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19600V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1"
+ [946] "Pp3c2_19690V3.1" "Pp3c2_19700V3.1" "Pp3c2_19730V3.1" "Pp3c2_19940V3.1" "Pp3c2_19950V3.1" "Pp3c2_19980V3.1" "Pp3c2_20030V3.1"
+ [953] "Pp3c2_20120V3.1" "Pp3c2_20130V3.1" "Pp3c2_20141V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1" "Pp3c2_20330V3.1" "Pp3c2_20450V3.1"
+ [960] "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1" "Pp3c2_20850V3.1" "Pp3c2_20860V3.1"
+ [967] "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21110V3.1" "Pp3c2_21260V3.1" "Pp3c2_21270V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1"
+ [974] "Pp3c2_21370V3.1" "Pp3c2_21470V3.1" "Pp3c2_21540V3.1" "Pp3c2_21590V3.1" "Pp3c2_21600V3.1" "Pp3c2_21660V3.1" "Pp3c2_21670V3.1"
+ [981] "Pp3c2_21710V3.1" "Pp3c2_21860V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22120V3.1" "Pp3c2_22140V3.1"
+ [988] "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22540V3.1" "Pp3c2_22550V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1"
+ [995] "Pp3c2_23140V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23320V3.1" "Pp3c2_23690V3.1"
+ [ reached getOption("max.print") -- omitted 8360 entries ]
+[1] "DEGs intersection with direction check"
+[1] 9360
+   [1] "Pp3c1_40V3.1"    "Pp3c1_70V3.1"    "Pp3c1_190V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_400V3.1"   "Pp3c1_430V3.1"  
+   [8] "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"   "Pp3c1_680V3.1"   "Pp3c1_690V3.1"   "Pp3c1_890V3.1"  
+  [15] "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1240V3.1"  "Pp3c1_1260V3.1"  "Pp3c1_1330V3.1" 
+  [22] "Pp3c1_1360V3.1"  "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1790V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1" 
+  [29] "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2390V3.1" 
+  [36] "Pp3c1_2420V3.1"  "Pp3c1_2510V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_2740V3.1"  "Pp3c1_2770V3.1"  "Pp3c1_2880V3.1"  "Pp3c1_2920V3.1" 
+  [43] "Pp3c1_2960V3.1"  "Pp3c1_2980V3.1"  "Pp3c1_3040V3.1"  "Pp3c1_3140V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1" 
+  [50] "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3260V3.1"  "Pp3c1_3300V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3520V3.1"  "Pp3c1_3590V3.1" 
+  [57] "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3730V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_3890V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1" 
+  [64] "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4400V3.1"  "Pp3c1_4470V3.1" 
+  [71] "Pp3c1_4510V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4750V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [78] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_5850V3.1"  "Pp3c1_5860V3.1" 
+  [85] "Pp3c1_5870V3.1"  "Pp3c1_5970V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6120V3.1" 
+  [92] "Pp3c1_6130V3.1"  "Pp3c1_6272V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6380V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1" 
+  [99] "Pp3c1_6480V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6570V3.1"  "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_6950V3.1" 
+ [106] "Pp3c1_7010V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7090V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7220V3.1"  "Pp3c1_7300V3.1" 
+ [113] "Pp3c1_7360V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1"  "Pp3c1_7390V3.1"  "Pp3c1_7430V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1" 
+ [120] "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1" 
+ [127] "Pp3c1_7830V3.1"  "Pp3c1_7880V3.1"  "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1"  "Pp3c1_8080V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1" 
+ [134] "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1"  "Pp3c1_8290V3.1"  "Pp3c1_8400V3.1"  "Pp3c1_8440V3.1"  "Pp3c1_8450V3.1" 
+ [141] "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1" 
+ [148] "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9630V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9896V3.1" 
+ [155] "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10040V3.1" "Pp3c1_10080V3.1" "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10200V3.1"
+ [162] "Pp3c1_10220V3.1" "Pp3c1_10400V3.1" "Pp3c1_10470V3.1" "Pp3c1_10530V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1"
+ [169] "Pp3c1_10630V3.1" "Pp3c1_10760V3.1" "Pp3c1_10810V3.1" "Pp3c1_10830V3.1" "Pp3c1_10880V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1"
+ [176] "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1" "Pp3c1_11420V3.1" "Pp3c1_11980V3.1" "Pp3c1_12020V3.1" "Pp3c1_12100V3.1"
+ [183] "Pp3c1_12120V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12560V3.1" "Pp3c1_12610V3.1" "Pp3c1_12630V3.1" "Pp3c1_12730V3.1"
+ [190] "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1" "Pp3c1_12940V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1"
+ [197] "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1" "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13800V3.1"
+ [204] "Pp3c1_13830V3.1" "Pp3c1_13910V3.1" "Pp3c1_14230V3.1" "Pp3c1_14330V3.1" "Pp3c1_14380V3.1" "Pp3c1_14540V3.1" "Pp3c1_14670V3.1"
+ [211] "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1" "Pp3c1_14870V3.1" "Pp3c1_14880V3.1" "Pp3c1_14910V3.1"
+ [218] "Pp3c1_14920V3.1" "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15090V3.1" "Pp3c1_15100V3.1" "Pp3c1_15110V3.1" "Pp3c1_15130V3.1"
+ [225] "Pp3c1_15150V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1" "Pp3c1_15410V3.1" "Pp3c1_15440V3.1" "Pp3c1_15460V3.1"
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+ [631] "Pp3c1_42880V3.1" "Pp3c2_150V3.1"   "Pp3c2_181V3.1"   "Pp3c2_200V3.1"   "Pp3c2_260V3.1"   "Pp3c2_380V3.1"   "Pp3c2_530V3.1"  
+ [638] "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_610V3.1"   "Pp3c2_620V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1" 
+ [645] "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1"  "Pp3c2_1280V3.1"  "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1630V3.1" 
+ [652] "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_1920V3.1"  "Pp3c2_1940V3.1"  "Pp3c2_1951V3.1"  "Pp3c2_2070V3.1"  "Pp3c2_2120V3.1" 
+ [659] "Pp3c2_2150V3.1"  "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1"  "Pp3c2_2310V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2569V3.1"  "Pp3c2_2575V3.1" 
+ [666] "Pp3c2_2700V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1"  "Pp3c2_2780V3.1"  "Pp3c2_2790V3.1"  "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1" 
+ [673] "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3190V3.1"  "Pp3c2_3210V3.1"  "Pp3c2_3220V3.1"  "Pp3c2_3370V3.1"  "Pp3c2_3470V3.1" 
+ [680] "Pp3c2_3480V3.1"  "Pp3c2_3600V3.1"  "Pp3c2_3670V3.1"  "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3800V3.1"  "Pp3c2_3850V3.1" 
+ [687] "Pp3c2_3880V3.1"  "Pp3c2_4100V3.1"  "Pp3c2_4120V3.1"  "Pp3c2_4180V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1"  "Pp3c2_4270V3.1" 
+ [694] "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1"  "Pp3c2_4500V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4610V3.1"  "Pp3c2_4650V3.1" 
+ [701] "Pp3c2_4660V3.1"  "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1"  "Pp3c2_4790V3.1"  "Pp3c2_5130V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1" 
+ [708] "Pp3c2_5310V3.1"  "Pp3c2_5400V3.1"  "Pp3c2_5440V3.1"  "Pp3c2_5450V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5520V3.1" 
+ [715] "Pp3c2_5530V3.1"  "Pp3c2_5560V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1"  "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1"  "Pp3c2_5990V3.1" 
+ [722] "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6132V3.1"  "Pp3c2_6160V3.1"  "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1" 
+ [729] "Pp3c2_6370V3.1"  "Pp3c2_6410V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1"  "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1" 
+ [736] "Pp3c2_6740V3.1"  "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1"  "Pp3c2_7120V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7480V3.1" 
+ [743] "Pp3c2_7620V3.1"  "Pp3c2_7760V3.1"  "Pp3c2_7790V3.1"  "Pp3c2_7810V3.1"  "Pp3c2_7910V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1" 
+ [750] "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1"  "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1" 
+ [757] "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8840V3.1"  "Pp3c2_8880V3.1"  "Pp3c2_8960V3.1"  "Pp3c2_9020V3.1" 
+ [764] "Pp3c2_9080V3.1"  "Pp3c2_9140V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1"  "Pp3c2_9470V3.1"  "Pp3c2_9480V3.1" 
+ [771] "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9790V3.1"  "Pp3c2_9813V3.1"  "Pp3c2_9820V3.1"  "Pp3c2_9830V3.1" 
+ [778] "Pp3c2_9850V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1"  "Pp3c2_9980V3.1"  "Pp3c2_10070V3.1" "Pp3c2_10100V3.1" "Pp3c2_10220V3.1"
+ [785] "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10350V3.1" "Pp3c2_10530V3.1" "Pp3c2_10610V3.1" "Pp3c2_10630V3.1"
+ [792] "Pp3c2_10900V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1" "Pp3c2_11310V3.1"
+ [799] "Pp3c2_11370V3.1" "Pp3c2_11380V3.1" "Pp3c2_11410V3.1" "Pp3c2_11490V3.1" "Pp3c2_11540V3.1" "Pp3c2_11580V3.1" "Pp3c2_11670V3.1"
+ [806] "Pp3c2_11730V3.1" "Pp3c2_11820V3.1" "Pp3c2_11850V3.1" "Pp3c2_11870V3.1" "Pp3c2_11890V3.1" "Pp3c2_12080V3.1" "Pp3c2_12120V3.1"
+ [813] "Pp3c2_12150V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12320V3.1" "Pp3c2_12550V3.1" "Pp3c2_12620V3.1" "Pp3c2_12670V3.1"
+ [820] "Pp3c2_12680V3.1" "Pp3c2_12740V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1" "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13300V3.1"
+ [827] "Pp3c2_13330V3.1" "Pp3c2_13370V3.1" "Pp3c2_13400V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [834] "Pp3c2_13670V3.1" "Pp3c2_13690V3.1" "Pp3c2_13790V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13930V3.1"
+ [841] "Pp3c2_13970V3.1" "Pp3c2_14050V3.1" "Pp3c2_14060V3.1" "Pp3c2_14090V3.1" "Pp3c2_14120V3.1" "Pp3c2_14160V3.1" "Pp3c2_14270V3.1"
+ [848] "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14410V3.1" "Pp3c2_14470V3.1" "Pp3c2_14510V3.1"
+ [855] "Pp3c2_14520V3.1" "Pp3c2_14560V3.1" "Pp3c2_14570V3.1" "Pp3c2_14600V3.1" "Pp3c2_14610V3.1" "Pp3c2_14800V3.1" "Pp3c2_14820V3.1"
+ [862] "Pp3c2_14930V3.1" "Pp3c2_15020V3.1" "Pp3c2_15060V3.1" "Pp3c2_15140V3.1" "Pp3c2_15180V3.1" "Pp3c2_15200V3.1" "Pp3c2_15250V3.1"
+ [869] "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15470V3.1" "Pp3c2_15480V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [876] "Pp3c2_15820V3.1" "Pp3c2_15860V3.1" "Pp3c2_15900V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [883] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16330V3.1" "Pp3c2_16610V3.1" "Pp3c2_16660V3.1" "Pp3c2_16671V3.1" "Pp3c2_16680V3.1"
+ [890] "Pp3c2_16720V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1" "Pp3c2_16950V3.1" "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17070V3.1"
+ [897] "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17160V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1" "Pp3c2_17380V3.1"
+ [904] "Pp3c2_17390V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [911] "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_17910V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18130V3.1" "Pp3c2_18140V3.1"
+ [918] "Pp3c2_18330V3.1" "Pp3c2_18450V3.1" "Pp3c2_18480V3.1" "Pp3c2_18510V3.1" "Pp3c2_18520V3.1" "Pp3c2_18540V3.1" "Pp3c2_18600V3.1"
+ [925] "Pp3c2_18610V3.1" "Pp3c2_18620V3.1" "Pp3c2_18630V3.1" "Pp3c2_18840V3.1" "Pp3c2_18850V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1"
+ [932] "Pp3c2_19250V3.1" "Pp3c2_19260V3.1" "Pp3c2_19280V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1"
+ [939] "Pp3c2_19430V3.1" "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19600V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1"
+ [946] "Pp3c2_19690V3.1" "Pp3c2_19700V3.1" "Pp3c2_19730V3.1" "Pp3c2_19940V3.1" "Pp3c2_19950V3.1" "Pp3c2_19980V3.1" "Pp3c2_20030V3.1"
+ [953] "Pp3c2_20120V3.1" "Pp3c2_20130V3.1" "Pp3c2_20141V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1" "Pp3c2_20330V3.1" "Pp3c2_20450V3.1"
+ [960] "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1" "Pp3c2_20850V3.1" "Pp3c2_20860V3.1"
+ [967] "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21110V3.1" "Pp3c2_21260V3.1" "Pp3c2_21270V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1"
+ [974] "Pp3c2_21370V3.1" "Pp3c2_21470V3.1" "Pp3c2_21540V3.1" "Pp3c2_21590V3.1" "Pp3c2_21600V3.1" "Pp3c2_21660V3.1" "Pp3c2_21670V3.1"
+ [981] "Pp3c2_21710V3.1" "Pp3c2_21860V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22120V3.1" "Pp3c2_22140V3.1"
+ [988] "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22540V3.1" "Pp3c2_22550V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1"
+ [995] "Pp3c2_23140V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23320V3.1" "Pp3c2_23690V3.1"
+ [ reached getOption("max.print") -- omitted 8360 entries ]