runs/RNA-Seq_analysis/DEGs/DEGs_0.9/spa_D_WT_L/DEGpipe_spa_D vs. WT_L.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: spa_D" "SampleNames: WT_L" 
+[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] "spa_D"   "spa_D.1" "spa_D.2" "WT_L"    "WT_L.1"  "WT_L.2" 
+              spa_D spa_D.1 spa_D.2 WT_L WT_L.1 WT_L.2
+Pp3c1_20V3.1    130     242     230  299    421    446
+Pp3c1_40V3.1    119     467     237  210    341    331
+Pp3c1_60V3.1    322     659     578  339    533    550
+Pp3c1_70V3.1    314     564     470  307    441    445
+Pp3c1_80V3.1      8      11      10    0      0      0
+Pp3c1_100V3.1   537     778     805  695    981    980
+[1] "Raw data row number:  31315"
+[1] "Raw data column number:  6"
+[1] "Filtered data row number:  19550"
+[1] "Filtered data row number:  6"
+[1] "edgeR is running with spa_D vs. WT_L"
+[1] "DESeq2 is running with spa_D vs. WT_L"
+[1] "NOISeq is running with spa_D vs. WT_L"
+Filtering out low count features...
+18891 features are to be kept for differential expression analysis with filtering method 1
+[1] "GC content bias detection is to be computed for:"
+[1] "spa_D"   "spa_D.1" "spa_D.2" "WT_L"    "WT_L.1"  "WT_L.2" 
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-61.10 -16.98   0.00  16.18  76.39 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   172.30      24.56   7.017  5.4e-10 ***
+bx1          -117.18      34.73  -3.374 0.001122 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4           597.66    3472.25   0.172 0.863753    
+bx5          -169.50     143.03  -1.185 0.239339    
+bx6           -51.71      37.06  -1.395 0.166630    
+bx7            66.36      28.16   2.357 0.020759 *  
+bx8           104.65      28.47   3.675 0.000417 ***
+bx9            50.54      35.82   1.411 0.161950    
+bx10           50.55     104.10   0.486 0.628509    
+bx11         -360.71     560.55  -0.643 0.521655    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 24.56 on 84 degrees of freedom
+Multiple R-squared:  0.7564,	Adjusted R-squared:  0.7303 
+F-statistic: 28.97 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "spa_D.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-103.9  -29.6    0.0   27.2  140.0 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  222.595     42.778   5.204 1.36e-06 ***
+bx1         -124.900     60.497  -2.065   0.0420 *  
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4         1218.744   6048.831   0.201   0.8408    
+bx5         -214.686    249.173  -0.862   0.3914    
+bx6           -4.552     64.560  -0.071   0.9440    
+bx7          212.777     49.053   4.338 3.98e-05 ***
+bx8          270.775     49.601   5.459 4.76e-07 ***
+bx9          163.519     62.399   2.621   0.0104 *  
+bx10          63.692    181.344   0.351   0.7263    
+bx11        -540.233    976.507  -0.553   0.5816    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 42.78 on 84 degrees of freedom
+Multiple R-squared:  0.7753,	Adjusted R-squared:  0.7512 
+F-statistic:  32.2 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "spa_D.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-94.878 -26.094  -0.113  23.888 121.131 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   216.27      38.08   5.680 1.89e-07 ***
+bx1          -131.62      53.85  -2.444 0.016603 *  
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4          1366.56    5383.94   0.254 0.800254    
+bx5          -233.50     221.78  -1.053 0.295443    
+bx6           -15.88      57.46  -0.276 0.782906    
+bx7           154.82      43.66   3.546 0.000643 ***
+bx8           225.67      44.15   5.112 1.98e-06 ***
+bx9           142.52      55.54   2.566 0.012061 *  
+bx10           60.19     161.41   0.373 0.710148    
+bx11         -408.43     869.17  -0.470 0.639640    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 38.08 on 84 degrees of freedom
+Multiple R-squared:  0.7724,	Adjusted R-squared:  0.748 
+F-statistic: 31.68 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-107.67  -20.65    0.00   17.33  117.19 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   239.83      38.33   6.256 1.58e-08 ***
+bx1          -177.68      54.21  -3.277  0.00152 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4          -107.24    5420.41  -0.020  0.98426    
+bx5          -207.06     223.29  -0.927  0.35642    
+bx6           -81.77      57.85  -1.413  0.16123    
+bx7           116.47      43.96   2.650  0.00963 ** 
+bx8           183.25      44.45   4.123 8.75e-05 ***
+bx9           265.38      55.92   4.746 8.42e-06 ***
+bx10          158.75     162.50   0.977  0.33142    
+bx11        -1545.19     875.06  -1.766  0.08106 .  
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 38.33 on 84 degrees of freedom
+Multiple R-squared:  0.834,	Adjusted R-squared:  0.8162 
+F-statistic: 46.89 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_L.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-145.316  -25.971   -0.174   23.571  163.465 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   296.01      51.27   5.774 1.27e-07 ***
+bx1          -212.26      72.50  -2.928 0.004392 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4           429.73    7248.93   0.059 0.952869    
+bx5          -272.81     298.61  -0.914 0.363545    
+bx6           -83.09      77.37  -1.074 0.285931    
+bx7           202.75      58.79   3.449 0.000882 ***
+bx8           295.43      59.44   4.970 3.48e-06 ***
+bx9           411.55      74.78   5.504 3.96e-07 ***
+bx10          152.90     217.32   0.704 0.483653    
+bx11        -1808.22    1170.25  -1.545 0.126067    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 51.27 on 84 degrees of freedom
+Multiple R-squared:  0.8496,	Adjusted R-squared:  0.8334 
+F-statistic: 52.71 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_L.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-157.82  -26.84    0.00   25.57  181.39 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   300.18      55.82   5.378 6.67e-07 ***
+bx1          -215.33      78.94  -2.728 0.007765 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4          1149.34    7893.18   0.146 0.884577    
+bx5          -309.75     325.15  -0.953 0.343509    
+bx6           -64.56      84.24  -0.766 0.445612    
+bx7           220.30      64.01   3.442 0.000903 ***
+bx8           321.66      64.72   4.970 3.49e-06 ***
+bx9           443.97      81.43   5.452 4.89e-07 ***
+bx10          201.90     236.64   0.853 0.395962    
+bx11        -2003.54    1274.25  -1.572 0.119635    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 55.82 on 84 degrees of freedom
+Multiple R-squared:  0.8397,	Adjusted R-squared:  0.8226 
+F-statistic:  48.9 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "GC content bias detection is to be computed for:"
+[1] "spa_D" "WT_L" 
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-11.399  -3.327   0.000   2.838  14.640 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   27.553      4.600   5.990 5.03e-08 ***
+bx1          -17.197      6.505  -2.644  0.00978 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4          134.830    650.407   0.207  0.83628    
+bx5          -27.746     26.793  -1.036  0.30336    
+bx6           -4.119      6.942  -0.593  0.55452    
+bx7           17.952      5.274   3.404  0.00102 ** 
+bx8           25.303      5.333   4.744 8.48e-06 ***
+bx9           14.717      6.710   2.194  0.03103 *  
+bx10           7.838     19.499   0.402  0.68872    
+bx11         -58.441    105.000  -0.557  0.57929    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.6 on 84 degrees of freedom
+Multiple R-squared:  0.7677,	Adjusted R-squared:  0.7428 
+F-statistic: 30.84 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-13.5703  -2.4940  -0.0125   2.1266  15.1422 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   27.832      4.791   5.809 1.09e-07 ***
+bx1          -20.202      6.775  -2.982  0.00375 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4           42.291    677.452   0.062  0.95037    
+bx5          -26.078     27.907  -0.934  0.35274    
+bx6           -7.824      7.231  -1.082  0.28234    
+bx7           17.451      5.494   3.177  0.00209 ** 
+bx8           26.078      5.555   4.694 1.03e-05 ***
+bx9           36.583      6.989   5.235 1.20e-06 ***
+bx10          17.102     20.310   0.842  0.40214    
+bx11        -177.693    109.366  -1.625  0.10796    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.791 on 84 degrees of freedom
+Multiple R-squared:  0.8414,	Adjusted R-squared:  0.8244 
+F-statistic: 49.52 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-11.399  -3.327   0.000   2.838  14.640 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   27.553      4.600   5.990 5.03e-08 ***
+bx1          -17.197      6.505  -2.644  0.00978 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4          134.830    650.407   0.207  0.83628    
+bx5          -27.746     26.793  -1.036  0.30336    
+bx6           -4.119      6.942  -0.593  0.55452    
+bx7           17.952      5.274   3.404  0.00102 ** 
+bx8           25.303      5.333   4.744 8.48e-06 ***
+bx9           14.717      6.710   2.194  0.03103 *  
+bx10           7.838     19.499   0.402  0.68872    
+bx11         -58.441    105.000  -0.557  0.57929    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.6 on 84 degrees of freedom
+Multiple R-squared:  0.7677,	Adjusted R-squared:  0.7428 
+F-statistic: 30.84 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+     Min       1Q   Median       3Q      Max 
+-13.5703  -2.4940  -0.0125   2.1266  15.1422 
+
+Coefficients: (3 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   27.832      4.791   5.809 1.09e-07 ***
+bx1          -20.202      6.775  -2.982  0.00375 ** 
+bx2               NA         NA      NA       NA    
+bx3               NA         NA      NA       NA    
+bx4           42.291    677.452   0.062  0.95037    
+bx5          -26.078     27.907  -0.934  0.35274    
+bx6           -7.824      7.231  -1.082  0.28234    
+bx7           17.451      5.494   3.177  0.00209 ** 
+bx8           26.078      5.555   4.694 1.03e-05 ***
+bx9           36.583      6.989   5.235 1.20e-06 ***
+bx10          17.102     20.310   0.842  0.40214    
+bx11        -177.693    109.366  -1.625  0.10796    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.791 on 84 degrees of freedom
+Multiple R-squared:  0.8414,	Adjusted R-squared:  0.8244 
+F-statistic: 49.52 on 9 and 84 DF,  p-value: < 2.2e-16
+
+[1] "Length bias detection information is to be computed for:"
+[1] "spa_D"   "spa_D.1" "spa_D.2" "WT_L"    "WT_L.1"  "WT_L.2" 
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-47.428 -13.676  -2.186  15.203  66.908 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   685.04      22.30  30.723  < 2e-16 ***
+bx1          -658.02      31.12 -21.144  < 2e-16 ***
+bx2          -608.33      32.34 -18.812  < 2e-16 ***
+bx3          -462.21      27.97 -16.526  < 2e-16 ***
+bx4          -536.62      25.26 -21.244  < 2e-16 ***
+bx5          -435.42      25.29 -17.218  < 2e-16 ***
+bx6          -446.37      26.75 -16.686  < 2e-16 ***
+bx7          -351.62      30.48 -11.537  < 2e-16 ***
+bx8          -358.01      41.16  -8.697 2.88e-13 ***
+bx9          -232.73      85.66  -2.717  0.00804 ** 
+bx10         -303.10    1100.82  -0.275  0.78375    
+bx11         4041.02   17883.35   0.226  0.82179    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 22.3 on 82 degrees of freedom
+Multiple R-squared:  0.9395,	Adjusted R-squared:  0.9313 
+F-statistic: 115.7 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "spa_D.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-84.231 -23.621  -5.431  25.715 115.017 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  1203.18      39.28  30.632  < 2e-16 ***
+bx1         -1154.80      54.82 -21.064  < 2e-16 ***
+bx2         -1083.42      56.97 -19.019  < 2e-16 ***
+bx3          -813.29      49.27 -16.507  < 2e-16 ***
+bx4          -933.57      44.50 -20.980  < 2e-16 ***
+bx5          -752.32      44.55 -16.888  < 2e-16 ***
+bx6          -770.31      47.13 -16.346  < 2e-16 ***
+bx7          -612.85      53.69 -11.415  < 2e-16 ***
+bx8          -614.32      72.51  -8.472 8.09e-13 ***
+bx9          -382.83     150.90  -2.537   0.0131 *  
+bx10        -1019.56    1939.20  -0.526   0.6005    
+bx11        15620.78   31503.23   0.496   0.6213    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 39.28 on 82 degrees of freedom
+Multiple R-squared:  0.9405,	Adjusted R-squared:  0.9326 
+F-statistic: 117.9 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "spa_D.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-73.991 -22.541  -2.981  23.302 107.807 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   964.23      35.13  27.446  < 2e-16 ***
+bx1          -922.45      49.04 -18.812  < 2e-16 ***
+bx2          -854.79      50.95 -16.776  < 2e-16 ***
+bx3          -597.12      44.07 -13.550  < 2e-16 ***
+bx4          -723.70      39.80 -18.183  < 2e-16 ***
+bx5          -565.18      39.85 -14.184  < 2e-16 ***
+bx6          -591.17      42.15 -14.025  < 2e-16 ***
+bx7          -459.10      48.02  -9.560 5.54e-15 ***
+bx8          -474.30      64.86  -7.313 1.58e-10 ***
+bx9          -283.50     134.97  -2.100   0.0388 *  
+bx10         -580.02    1734.51  -0.334   0.7389    
+bx11         7989.45   28177.89   0.284   0.7775    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 35.13 on 82 degrees of freedom
+Multiple R-squared:  0.9237,	Adjusted R-squared:  0.9135 
+F-statistic: 90.29 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-67.656 -23.901  -1.499  19.551  97.114 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   690.23      38.79  17.796  < 2e-16 ***
+bx1          -661.14      54.14 -12.213  < 2e-16 ***
+bx2          -557.48      56.25  -9.910 1.12e-15 ***
+bx3          -257.30      48.65  -5.289 1.00e-06 ***
+bx4          -403.75      43.94  -9.189 3.03e-14 ***
+bx5          -302.56      43.99  -6.878 1.10e-09 ***
+bx6          -388.84      46.53  -8.356 1.38e-12 ***
+bx7          -252.07      53.02  -4.755 8.39e-06 ***
+bx8          -349.76      71.60  -4.885 5.05e-06 ***
+bx9           -25.14     149.00  -0.169    0.866    
+bx10        -2524.17    1914.87  -1.318    0.191    
+bx11        40331.12   31107.85   1.296    0.198    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 38.79 on 82 degrees of freedom
+Multiple R-squared:  0.7688,	Adjusted R-squared:  0.7378 
+F-statistic: 24.79 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_L.1"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-84.802 -30.301  -2.815  28.118 139.464 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  1008.16      51.34  19.638  < 2e-16 ***
+bx1          -970.03      71.65 -13.538  < 2e-16 ***
+bx2          -850.82      74.45 -11.427  < 2e-16 ***
+bx3          -450.49      64.39  -6.996 6.54e-10 ***
+bx4          -605.98      58.16 -10.419  < 2e-16 ***
+bx5          -462.93      58.22  -7.951 8.74e-12 ***
+bx6          -572.57      61.59  -9.296 1.86e-14 ***
+bx7          -383.64      70.17  -5.467 4.82e-07 ***
+bx8          -507.02      94.78  -5.350 7.82e-07 ***
+bx9           -51.60     197.22  -0.262    0.794    
+bx10        -3447.74    2534.55  -1.360    0.177    
+bx11        54238.18   41174.89   1.317    0.191    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 51.34 on 82 degrees of freedom
+Multiple R-squared:   0.82,	Adjusted R-squared:  0.7959 
+F-statistic: 33.97 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_L.2"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-94.232 -34.553  -3.158  28.224 146.031 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   990.79      55.57  17.829  < 2e-16 ***
+bx1          -953.83      77.57 -12.297  < 2e-16 ***
+bx2          -818.62      80.60 -10.157 3.66e-16 ***
+bx3          -380.64      69.71  -5.461 4.95e-07 ***
+bx4          -563.08      62.96  -8.944 9.30e-14 ***
+bx5          -420.87      63.03  -6.678 2.69e-09 ***
+bx6          -541.49      66.68  -8.121 4.02e-12 ***
+bx7          -352.10      75.96  -4.635 1.33e-05 ***
+bx8          -480.33     102.60  -4.682 1.11e-05 ***
+bx9           -15.80     213.49  -0.074    0.941    
+bx10        -3647.08    2743.65  -1.329    0.187    
+bx11        58079.06   44571.76   1.303    0.196    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 55.57 on 82 degrees of freedom
+Multiple R-squared:  0.7825,	Adjusted R-squared:  0.7533 
+F-statistic: 26.82 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "Length bias detection information is to be computed for:"
+[1] "spa_D" "WT_L" 
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-8.979 -2.638 -0.540  3.042 12.655 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  124.876      4.210  29.660  < 2e-16 ***
+bx1         -119.782      5.877 -20.383  < 2e-16 ***
+bx2         -111.288      6.106 -18.225  < 2e-16 ***
+bx3          -82.175      5.281 -15.560  < 2e-16 ***
+bx4          -96.209      4.770 -20.171  < 2e-16 ***
+bx5          -77.006      4.775 -16.127  < 2e-16 ***
+bx6          -79.395      5.052 -15.717  < 2e-16 ***
+bx7          -62.492      5.755 -10.859  < 2e-16 ***
+bx8          -63.540      7.773  -8.175 3.15e-12 ***
+bx9          -39.839     16.175  -2.463   0.0159 *  
+bx10         -77.998    207.864  -0.375   0.7085    
+bx11        1123.902   3376.849   0.333   0.7401    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.21 on 82 degrees of freedom
+Multiple R-squared:  0.9353,	Adjusted R-squared:  0.9266 
+F-statistic: 107.8 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-8.1815 -2.8741 -0.1717  2.6049 12.5471 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   88.512      4.809  18.407  < 2e-16 ***
+bx1          -85.050      6.712 -12.672  < 2e-16 ***
+bx2          -73.115      6.974 -10.484  < 2e-16 ***
+bx3          -35.585      6.032  -5.900 7.86e-08 ***
+bx4          -51.789      5.448  -9.507 7.08e-15 ***
+bx5          -39.012      5.454  -7.153 3.23e-10 ***
+bx6          -49.525      5.769  -8.584 4.84e-13 ***
+bx7          -32.512      6.573  -4.946 3.96e-06 ***
+bx8          -44.105      8.877  -4.968 3.63e-06 ***
+bx9           -2.924     18.473  -0.158    0.875    
+bx10        -319.320    237.404  -1.345    0.182    
+bx11        5073.000   3856.732   1.315    0.192    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.809 on 82 degrees of freedom
+Multiple R-squared:  0.791,	Adjusted R-squared:  0.763 
+F-statistic: 28.22 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "spa_D"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+   Min     1Q Median     3Q    Max 
+-8.979 -2.638 -0.540  3.042 12.655 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)  124.876      4.210  29.660  < 2e-16 ***
+bx1         -119.782      5.877 -20.383  < 2e-16 ***
+bx2         -111.288      6.106 -18.225  < 2e-16 ***
+bx3          -82.175      5.281 -15.560  < 2e-16 ***
+bx4          -96.209      4.770 -20.171  < 2e-16 ***
+bx5          -77.006      4.775 -16.127  < 2e-16 ***
+bx6          -79.395      5.052 -15.717  < 2e-16 ***
+bx7          -62.492      5.755 -10.859  < 2e-16 ***
+bx8          -63.540      7.773  -8.175 3.15e-12 ***
+bx9          -39.839     16.175  -2.463   0.0159 *  
+bx10         -77.998    207.864  -0.375   0.7085    
+bx11        1123.902   3376.849   0.333   0.7401    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.21 on 82 degrees of freedom
+Multiple R-squared:  0.9353,	Adjusted R-squared:  0.9266 
+F-statistic: 107.8 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "WT_L"
+
+Call:
+lm(formula = datos[, i] ~ bx)
+
+Residuals:
+    Min      1Q  Median      3Q     Max 
+-8.1815 -2.8741 -0.1717  2.6049 12.5471 
+
+Coefficients: (1 not defined because of singularities)
+            Estimate Std. Error t value Pr(>|t|)    
+(Intercept)   88.512      4.809  18.407  < 2e-16 ***
+bx1          -85.050      6.712 -12.672  < 2e-16 ***
+bx2          -73.115      6.974 -10.484  < 2e-16 ***
+bx3          -35.585      6.032  -5.900 7.86e-08 ***
+bx4          -51.789      5.448  -9.507 7.08e-15 ***
+bx5          -39.012      5.454  -7.153 3.23e-10 ***
+bx6          -49.525      5.769  -8.584 4.84e-13 ***
+bx7          -32.512      6.573  -4.946 3.96e-06 ***
+bx8          -44.105      8.877  -4.968 3.63e-06 ***
+bx9           -2.924     18.473  -0.158    0.875    
+bx10        -319.320    237.404  -1.345    0.182    
+bx11        5073.000   3856.732   1.315    0.192    
+bx12              NA         NA      NA       NA    
+---
+Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
+
+Residual standard error: 4.809 on 82 degrees of freedom
+Multiple R-squared:  0.791,	Adjusted R-squared:  0.763 
+F-statistic: 28.22 on 11 and 82 DF,  p-value: < 2.2e-16
+
+[1] "Reference sample is: spa_D"
+[1] "Confidence intervals for median of M:"
+        0.5%                   99.5%                Diagnostic Test
+spa_D.1 "0.0266875617112756"   "0.0358829553517801" "FAILED"       
+spa_D.2 "0.0365089572519747"   "0.0457667779917565" "FAILED"       
+WT_L    "-0.0304964595928968"  "0.0188946733171687" "PASSED"       
+WT_L.1  "-0.00342092944208662" "0.0475857650976248" "PASSED"       
+WT_L.2  "-0.013899304912566"   "0.0384106568494768" "PASSED"       
+[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...
+18238 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1] 5052   13 9934  191    4   49   18   63    1  974  314   72 1164    8  381
+Resampling cluster...[1] 1
+Size of 15 subclusters of cluster: 1
+ [1] 470 693 150 301 203 130 329 205 404 383 231 468 580 235 270
+[1] 2
+[1] 3
+Size of 15 subclusters of cluster: 3
+ [1]  768  823  550  947  284 1079  886  710  234  480 1695  152  393  497  436
+[1] 4
+[1] 5
+[1] 6
+[1] 7
+[1] 8
+[1] 9
+[1] 10
+[1] 11
+[1] 12
+[1] 13
+Size of 15 subclusters of cluster: 13
+ [1] 141 167  61  47  67  27  84  67  71  53  63  71  80  45 120
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.0979017904544776
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+ 0.0000  0.9224  0.9913  0.8996  0.9997  1.0000     653 
+Computing Z values...
+Filtering out low count features...
+18891 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1]     5     3   147  5180   113     8     1   357    27 11025   135  1087   738    40    25
+Resampling cluster...[1] 1
+[1] 2
+[1] 3
+[1] 4
+Size of 15 subclusters of cluster: 4
+ [1] 270 231 266 150 550 626 369 502 630 361 295 185 175 161 409
+[1] 5
+[1] 6
+[1] 7
+[1] 8
+[1] 9
+[1] 10
+Size of 15 subclusters of cluster: 10
+ [1]  479  628  168  287 2127  826 1133 1037  742  964  460  502  842  521  309
+[1] 11
+[1] 12
+Size of 15 subclusters of cluster: 12
+ [1]  43  19  27  39 103  48  82 133  80  59  55  61  93 122 123
+[1] 13
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.114039255025126
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+ 0.0000  0.8965  0.9874  0.8825  0.9991  1.0000 
+Computing Z values...
+Filtering out low count features...
+18891 features are to be kept for differential expression analysis with filtering method 1
+...k-means clustering done
+Size of 15 clusters:
+ [1] 1779   17 1464 8426    2   15  248 5423  102   37   65  731   26  386  170
+Resampling cluster...[1] 1
+Size of 15 subclusters of cluster: 1
+ [1] 134  35 172 133 166 113  65  88  93  61  44 251  40 220 164
+[1] 2
+[1] 3
+Size of 15 subclusters of cluster: 3
+ [1]  68  62  66 179 182 121  66  94  80  89  91  67  61 152  86
+[1] 4
+Size of 15 subclusters of cluster: 4
+ [1]  246  798  189  317 2052  489  548  500  711  486  650  387  317  121  615
+[1] 5
+[1] 6
+[1] 7
+[1] 8
+Size of 15 subclusters of cluster: 8
+ [1] 329 335 510 345 275 418 640 297 263 565 398 251 490 188 119
+[1] 9
+[1] 10
+[1] 11
+[1] 12
+[1] 13
+[1] 14
+[1] 15
+Computing Z for noise...
+Computing probability of differential expression...
+p0 = 0.191002197886844
+Probability
+   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+ 0.0000  0.7415  0.9422  0.8048  0.9937  1.0000 
+[1] "8111 differentially expressed features"
+[1] "3831 differentially expressed features (up in first condition)"
+[1] "4280 differentially expressed features (down in first condition)"
+[1] "4461 differentially expressed features"
+[1] "1000 differentially expressed features (up in first condition)"
+[1] "3461 differentially expressed features (down in first condition)"
+[1] "6665 differentially expressed features"
+[1] "9838 differentially expressed features"
+[1] "2775 differentially expressed features"
+[1] "4467 differentially expressed features"
+[1] "6698 differentially expressed features"
+[1] "9860 differentially expressed features"
+[1] "14292 differentially expressed features"
+[1] "8111 differentially expressed features"
+[1] "11216 differentially expressed features"
+[1] "4461 differentially expressed features"
+[1] "6665 differentially expressed features"
+[1] "2775 differentially expressed features"
+[1] "DEGs edgeR"
+[1] 12398
+[1] "DEGs deseq2"
+[1] 10676
+[1] "DEGs noiseq"
+[1] 6665
+[1] "DEGs noiseqbio"
+[1] 8111
+[1] "DEGs intersection without direction check (four methods)"
+[1] 6407
+   [1] "Pp3c1_120V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"  
+   [8] "Pp3c1_690V3.1"   "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1330V3.1"  "Pp3c1_1390V3.1" 
+  [15] "Pp3c1_1570V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1"  "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1" 
+  [22] "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2420V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_3000V3.1"  "Pp3c1_3040V3.1" 
+  [29] "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1"  "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3230V3.1"  "Pp3c1_3300V3.1" 
+  [36] "Pp3c1_3440V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3590V3.1"  "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_4010V3.1" 
+  [43] "Pp3c1_4030V3.1"  "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4470V3.1" 
+  [50] "Pp3c1_4600V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1"  "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1" 
+  [57] "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1" 
+  [64] "Pp3c1_6130V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6640V3.1" 
+  [71] "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7300V3.1"  "Pp3c1_7370V3.1" 
+  [78] "Pp3c1_7380V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1" 
+  [85] "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7910V3.1"  "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1" 
+  [92] "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1"  "Pp3c1_8490V3.1"  "Pp3c1_8530V3.1" 
+  [99] "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1" 
+ [106] "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10080V3.1"
+ [113] "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10180V3.1" "Pp3c1_10220V3.1" "Pp3c1_10470V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1"
+ [120] "Pp3c1_10620V3.1" "Pp3c1_10810V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1" "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1"
+ [127] "Pp3c1_11980V3.1" "Pp3c1_12120V3.1" "Pp3c1_12130V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12610V3.1" "Pp3c1_12630V3.1"
+ [134] "Pp3c1_12730V3.1" "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1"
+ [141] "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1" "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13830V3.1"
+ [148] "Pp3c1_13890V3.1" "Pp3c1_13910V3.1" "Pp3c1_13930V3.1" "Pp3c1_14230V3.1" "Pp3c1_14250V3.1" "Pp3c1_14330V3.1" "Pp3c1_14380V3.1"
+ [155] "Pp3c1_14670V3.1" "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1" "Pp3c1_14870V3.1" "Pp3c1_14910V3.1"
+ [162] "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1" "Pp3c1_15410V3.1" "Pp3c1_15690V3.1"
+ [169] "Pp3c1_15730V3.1" "Pp3c1_15750V3.1" "Pp3c1_15940V3.1" "Pp3c1_16250V3.1" "Pp3c1_16500V3.1" "Pp3c1_16780V3.1" "Pp3c1_16840V3.1"
+ [176] "Pp3c1_16850V3.1" "Pp3c1_16900V3.1" "Pp3c1_17080V3.1" "Pp3c1_17220V3.1" "Pp3c1_18130V3.1" "Pp3c1_18260V3.1" "Pp3c1_18460V3.1"
+ [183] "Pp3c1_18530V3.1" "Pp3c1_18830V3.1" "Pp3c1_18860V3.1" "Pp3c1_18910V3.1" "Pp3c1_18940V3.1" "Pp3c1_19060V3.1" "Pp3c1_19190V3.1"
+ [190] "Pp3c1_19200V3.1" "Pp3c1_19210V3.1" "Pp3c1_19230V3.1" "Pp3c1_19240V3.1" "Pp3c1_19370V3.1" "Pp3c1_19660V3.1" "Pp3c1_20280V3.1"
+ [197] "Pp3c1_20310V3.1" "Pp3c1_20610V3.1" "Pp3c1_20640V3.1" "Pp3c1_20690V3.1" "Pp3c1_20770V3.1" "Pp3c1_20870V3.1" "Pp3c1_20880V3.1"
+ [204] "Pp3c1_20960V3.1" "Pp3c1_21160V3.1" "Pp3c1_21200V3.1" "Pp3c1_21230V3.1" "Pp3c1_21270V3.1" "Pp3c1_21290V3.1" "Pp3c1_21360V3.1"
+ [211] "Pp3c1_21400V3.1" "Pp3c1_21480V3.1" "Pp3c1_21540V3.1" "Pp3c1_21550V3.1" "Pp3c1_21650V3.1" "Pp3c1_21730V3.1" "Pp3c1_21760V3.1"
+ [218] "Pp3c1_21810V3.1" "Pp3c1_21890V3.1" "Pp3c1_22090V3.1" "Pp3c1_22120V3.1" "Pp3c1_22260V3.1" "Pp3c1_22360V3.1" "Pp3c1_22450V3.1"
+ [225] "Pp3c1_22520V3.1" "Pp3c1_22540V3.1" "Pp3c1_22560V3.1" "Pp3c1_22590V3.1" "Pp3c1_22640V3.1" "Pp3c1_22690V3.1" "Pp3c1_22950V3.1"
+ [232] "Pp3c1_23010V3.1" "Pp3c1_23040V3.1" "Pp3c1_23190V3.1" "Pp3c1_23260V3.1" "Pp3c1_23300V3.1" "Pp3c1_23370V3.1" "Pp3c1_23410V3.1"
+ [239] "Pp3c1_23490V3.1" "Pp3c1_23520V3.1" "Pp3c1_23590V3.1" "Pp3c1_23600V3.1" "Pp3c1_23750V3.1" "Pp3c1_23850V3.1" "Pp3c1_23900V3.1"
+ [246] "Pp3c1_23930V3.1" "Pp3c1_23960V3.1" "Pp3c1_23970V3.1" "Pp3c1_24000V3.1" "Pp3c1_24120V3.1" "Pp3c1_24280V3.1" "Pp3c1_24500V3.1"
+ [253] "Pp3c1_24560V3.1" "Pp3c1_24600V3.1" "Pp3c1_24790V3.1" "Pp3c1_24820V3.1" "Pp3c1_24950V3.1" "Pp3c1_25000V3.1" "Pp3c1_25070V3.1"
+ [260] "Pp3c1_25080V3.1" "Pp3c1_25290V3.1" "Pp3c1_25410V3.1" "Pp3c1_25450V3.1" "Pp3c1_25640V3.1" "Pp3c1_25660V3.1" "Pp3c1_25700V3.1"
+ [267] "Pp3c1_25750V3.1" "Pp3c1_25770V3.1" "Pp3c1_25820V3.1" "Pp3c1_25850V3.1" "Pp3c1_25920V3.1" "Pp3c1_25940V3.1" "Pp3c1_26720V3.1"
+ [274] "Pp3c1_26730V3.1" "Pp3c1_26740V3.1" "Pp3c1_26780V3.1" "Pp3c1_27020V3.1" "Pp3c1_27160V3.1" "Pp3c1_27270V3.1" "Pp3c1_27440V3.1"
+ [281] "Pp3c1_27830V3.1" "Pp3c1_27990V3.1" "Pp3c1_28200V3.1" "Pp3c1_28340V3.1" "Pp3c1_28350V3.1" "Pp3c1_28370V3.1" "Pp3c1_28390V3.1"
+ [288] "Pp3c1_28430V3.1" "Pp3c1_28480V3.1" "Pp3c1_28680V3.1" "Pp3c1_28690V3.1" "Pp3c1_28750V3.1" "Pp3c1_29030V3.1" "Pp3c1_29070V3.1"
+ [295] "Pp3c1_29090V3.1" "Pp3c1_29300V3.1" "Pp3c1_29390V3.1" "Pp3c1_29440V3.1" "Pp3c1_29460V3.1" "Pp3c1_29500V3.1" "Pp3c1_29560V3.1"
+ [302] "Pp3c1_29590V3.1" "Pp3c1_29630V3.1" "Pp3c1_29650V3.1" "Pp3c1_29700V3.1" "Pp3c1_29710V3.1" "Pp3c1_29770V3.1" "Pp3c1_29970V3.1"
+ [309] "Pp3c1_30080V3.1" "Pp3c1_30090V3.1" "Pp3c1_30150V3.1" "Pp3c1_30400V3.1" "Pp3c1_30410V3.1" "Pp3c1_30620V3.1" "Pp3c1_30790V3.1"
+ [316] "Pp3c1_30960V3.1" "Pp3c1_30990V3.1" "Pp3c1_31250V3.1" "Pp3c1_31280V3.1" "Pp3c1_31440V3.1" "Pp3c1_31540V3.1" "Pp3c1_31630V3.1"
+ [323] "Pp3c1_31720V3.1" "Pp3c1_31930V3.1" "Pp3c1_32070V3.1" "Pp3c1_32090V3.1" "Pp3c1_32120V3.1" "Pp3c1_32170V3.1" "Pp3c1_32200V3.1"
+ [330] "Pp3c1_32280V3.1" "Pp3c1_32320V3.1" "Pp3c1_32350V3.1" "Pp3c1_32440V3.1" "Pp3c1_32520V3.1" "Pp3c1_32740V3.1" "Pp3c1_32760V3.1"
+ [337] "Pp3c1_32910V3.1" "Pp3c1_32920V3.1" "Pp3c1_32943V3.1" "Pp3c1_33030V3.1" "Pp3c1_33050V3.1" "Pp3c1_33120V3.1" "Pp3c1_33150V3.1"
+ [344] "Pp3c1_33290V3.1" "Pp3c1_33300V3.1" "Pp3c1_33430V3.1" "Pp3c1_33470V3.1" "Pp3c1_33480V3.1" "Pp3c1_33710V3.1" "Pp3c1_33790V3.1"
+ [351] "Pp3c1_33830V3.1" "Pp3c1_33890V3.1" "Pp3c1_34050V3.1" "Pp3c1_34210V3.1" "Pp3c1_34240V3.1" "Pp3c1_34390V3.1" "Pp3c1_34400V3.1"
+ [358] "Pp3c1_34410V3.1" "Pp3c1_34890V3.1" "Pp3c1_34950V3.1" "Pp3c1_35100V3.1" "Pp3c1_35120V3.1" "Pp3c1_35170V3.1" "Pp3c1_35220V3.1"
+ [365] "Pp3c1_35260V3.1" "Pp3c1_35321V3.1" "Pp3c1_35330V3.1" "Pp3c1_35350V3.1" "Pp3c1_35460V3.1" "Pp3c1_35630V3.1" "Pp3c1_35760V3.1"
+ [372] "Pp3c1_35820V3.1" "Pp3c1_35930V3.1" "Pp3c1_36000V3.1" "Pp3c1_36070V3.1" "Pp3c1_36080V3.1" "Pp3c1_36100V3.1" "Pp3c1_36129V3.1"
+ [379] "Pp3c1_36270V3.1" "Pp3c1_36300V3.1" "Pp3c1_36390V3.1" "Pp3c1_36400V3.1" "Pp3c1_36410V3.1" "Pp3c1_36440V3.1" "Pp3c1_36490V3.1"
+ [386] "Pp3c1_36580V3.1" "Pp3c1_37360V3.1" "Pp3c1_37760V3.1" "Pp3c1_37980V3.1" "Pp3c1_38030V3.1" "Pp3c1_38210V3.1" "Pp3c1_38250V3.1"
+ [393] "Pp3c1_38440V3.1" "Pp3c1_38600V3.1" "Pp3c1_38630V3.1" "Pp3c1_38770V3.1" "Pp3c1_38880V3.1" "Pp3c1_38950V3.1" "Pp3c1_38960V3.1"
+ [400] "Pp3c1_39100V3.1" "Pp3c1_39210V3.1" "Pp3c1_39340V3.1" "Pp3c1_39350V3.1" "Pp3c1_39460V3.1" "Pp3c1_39470V3.1" "Pp3c1_39540V3.1"
+ [407] "Pp3c1_39550V3.1" "Pp3c1_39640V3.1" "Pp3c1_39760V3.1" "Pp3c1_39780V3.1" "Pp3c1_39990V3.1" "Pp3c1_40230V3.1" "Pp3c1_40240V3.1"
+ [414] "Pp3c1_40270V3.1" "Pp3c1_40350V3.1" "Pp3c1_40490V3.1" "Pp3c1_40610V3.1" "Pp3c1_40650V3.1" "Pp3c1_40790V3.1" "Pp3c1_40840V3.1"
+ [421] "Pp3c1_40870V3.1" "Pp3c1_41090V3.1" "Pp3c1_41170V3.1" "Pp3c1_41250V3.1" "Pp3c1_41280V3.1" "Pp3c1_41310V3.1" "Pp3c1_41520V3.1"
+ [428] "Pp3c1_41710V3.1" "Pp3c1_41830V3.1" "Pp3c1_41900V3.1" "Pp3c1_41910V3.1" "Pp3c1_42020V3.1" "Pp3c1_42450V3.1" "Pp3c1_42570V3.1"
+ [435] "Pp3c1_42710V3.1" "Pp3c1_42740V3.1" "Pp3c1_42830V3.1" "Pp3c1_42870V3.1" "Pp3c2_90V3.1"    "Pp3c2_200V3.1"   "Pp3c2_530V3.1"  
+ [442] "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1"  "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1" 
+ [449] "Pp3c2_1280V3.1"  "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_2070V3.1" 
+ [456] "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1"  "Pp3c2_2510V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1"  "Pp3c2_2780V3.1" 
+ [463] "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1"  "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3210V3.1"  "Pp3c2_3480V3.1"  "Pp3c2_3490V3.1" 
+ [470] "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3850V3.1"  "Pp3c2_3880V3.1"  "Pp3c2_4120V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1" 
+ [477] "Pp3c2_4270V3.1"  "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1"  "Pp3c2_4490V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4650V3.1" 
+ [484] "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1"  "Pp3c2_4790V3.1"  "Pp3c2_4940V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1"  "Pp3c2_5310V3.1" 
+ [491] "Pp3c2_5440V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1"  "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1" 
+ [498] "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6160V3.1"  "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1"  "Pp3c2_6410V3.1" 
+ [505] "Pp3c2_6520V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1"  "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1"  "Pp3c2_6740V3.1" 
+ [512] "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1"  "Pp3c2_7120V3.1"  "Pp3c2_7150V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7620V3.1" 
+ [519] "Pp3c2_7760V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1"  "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1" 
+ [526] "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1"  "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8880V3.1" 
+ [533] "Pp3c2_8960V3.1"  "Pp3c2_9080V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1"  "Pp3c2_9470V3.1"  "Pp3c2_9480V3.1" 
+ [540] "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9820V3.1"  "Pp3c2_9830V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1" 
+ [547] "Pp3c2_10070V3.1" "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10530V3.1" "Pp3c2_10630V3.1" "Pp3c2_10900V3.1"
+ [554] "Pp3c2_10920V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1" "Pp3c2_11370V3.1"
+ [561] "Pp3c2_11380V3.1" "Pp3c2_11490V3.1" "Pp3c2_11580V3.1" "Pp3c2_11670V3.1" "Pp3c2_11820V3.1" "Pp3c2_11870V3.1" "Pp3c2_12080V3.1"
+ [568] "Pp3c2_12120V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12620V3.1" "Pp3c2_12680V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1"
+ [575] "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13450V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [582] "Pp3c2_13670V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13970V3.1" "Pp3c2_13990V3.1" "Pp3c2_14060V3.1"
+ [589] "Pp3c2_14090V3.1" "Pp3c2_14270V3.1" "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14470V3.1"
+ [596] "Pp3c2_14520V3.1" "Pp3c2_14570V3.1" "Pp3c2_14600V3.1" "Pp3c2_14820V3.1" "Pp3c2_14930V3.1" "Pp3c2_15060V3.1" "Pp3c2_15180V3.1"
+ [603] "Pp3c2_15200V3.1" "Pp3c2_15250V3.1" "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [610] "Pp3c2_15820V3.1" "Pp3c2_15900V3.1" "Pp3c2_15910V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [617] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16510V3.1" "Pp3c2_16610V3.1" "Pp3c2_16740V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1"
+ [624] "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1"
+ [631] "Pp3c2_17380V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [638] "Pp3c2_17700V3.1" "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18140V3.1" "Pp3c2_18510V3.1"
+ [645] "Pp3c2_18540V3.1" "Pp3c2_18570V3.1" "Pp3c2_18600V3.1" "Pp3c2_18850V3.1" "Pp3c2_18870V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1"
+ [652] "Pp3c2_19250V3.1" "Pp3c2_19260V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1" "Pp3c2_19430V3.1"
+ [659] "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19570V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1" "Pp3c2_19700V3.1"
+ [666] "Pp3c2_19780V3.1" "Pp3c2_19830V3.1" "Pp3c2_19940V3.1" "Pp3c2_19980V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1" "Pp3c2_20330V3.1"
+ [673] "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1" "Pp3c2_20860V3.1"
+ [680] "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21330V3.1" "Pp3c2_21370V3.1" "Pp3c2_21580V3.1"
+ [687] "Pp3c2_21600V3.1" "Pp3c2_21710V3.1" "Pp3c2_21940V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22140V3.1"
+ [694] "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1"
+ [701] "Pp3c2_23300V3.1" "Pp3c2_23590V3.1" "Pp3c2_23860V3.1" "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_24110V3.1" "Pp3c2_24130V3.1"
+ [708] "Pp3c2_24150V3.1" "Pp3c2_24160V3.1" "Pp3c2_24270V3.1" "Pp3c2_24640V3.1" "Pp3c2_24840V3.1" "Pp3c2_24870V3.1" "Pp3c2_25580V3.1"
+ [715] "Pp3c2_25690V3.1" "Pp3c2_25720V3.1" "Pp3c2_25890V3.1" "Pp3c2_25930V3.1" "Pp3c2_26060V3.1" "Pp3c2_26250V3.1" "Pp3c2_26270V3.1"
+ [722] "Pp3c2_26320V3.1" "Pp3c2_26540V3.1" "Pp3c2_26650V3.1" "Pp3c2_26700V3.1" "Pp3c2_26720V3.1" "Pp3c2_27180V3.1" "Pp3c2_27330V3.1"
+ [729] "Pp3c2_27350V3.1" "Pp3c2_27440V3.1" "Pp3c2_27540V3.1" "Pp3c2_27550V3.1" "Pp3c2_27590V3.1" "Pp3c2_27650V3.1" "Pp3c2_27820V3.1"
+ [736] "Pp3c2_27910V3.1" "Pp3c2_27940V3.1" "Pp3c2_28030V3.1" "Pp3c2_28040V3.1" "Pp3c2_28130V3.1" "Pp3c2_28140V3.1" "Pp3c2_28180V3.1"
+ [743] "Pp3c2_28380V3.1" "Pp3c2_28420V3.1" "Pp3c2_28540V3.1" "Pp3c2_28870V3.1" "Pp3c2_29500V3.1" "Pp3c2_29800V3.1" "Pp3c2_29840V3.1"
+ [750] "Pp3c2_30030V3.1" "Pp3c2_30250V3.1" "Pp3c2_30270V3.1" "Pp3c2_30340V3.1" "Pp3c2_30370V3.1" "Pp3c2_30390V3.1" "Pp3c2_30530V3.1"
+ [757] "Pp3c2_30580V3.1" "Pp3c2_30600V3.1" "Pp3c2_30610V3.1" "Pp3c2_30620V3.1" "Pp3c2_30630V3.1" "Pp3c2_30720V3.1" "Pp3c2_30770V3.1"
+ [764] "Pp3c2_30860V3.1" "Pp3c2_30940V3.1" "Pp3c2_30970V3.1" "Pp3c2_30980V3.1" "Pp3c2_31241V3.1" "Pp3c2_31270V3.1" "Pp3c2_31280V3.1"
+ [771] "Pp3c2_31321V3.1" "Pp3c2_31330V3.1" "Pp3c2_31470V3.1" "Pp3c2_31540V3.1" "Pp3c2_31580V3.1" "Pp3c2_31590V3.1" "Pp3c2_31610V3.1"
+ [778] "Pp3c2_31920V3.1" "Pp3c2_31930V3.1" "Pp3c2_32160V3.1" "Pp3c2_32270V3.1" "Pp3c2_32310V3.1" "Pp3c2_32320V3.1" "Pp3c2_32400V3.1"
+ [785] "Pp3c2_32410V3.1" "Pp3c2_32540V3.1" "Pp3c2_32610V3.1" "Pp3c2_32690V3.1" "Pp3c2_32740V3.1" "Pp3c2_32770V3.1" "Pp3c2_32860V3.1"
+ [792] "Pp3c2_32990V3.1" "Pp3c2_33310V3.1" "Pp3c2_33330V3.1" "Pp3c2_33430V3.1" "Pp3c2_33890V3.1" "Pp3c2_34110V3.1" "Pp3c2_34120V3.1"
+ [799] "Pp3c2_34310V3.1" "Pp3c2_34390V3.1" "Pp3c2_34540V3.1" "Pp3c2_34550V3.1" "Pp3c2_34630V3.1" "Pp3c2_34780V3.1" "Pp3c2_34820V3.1"
+ [806] "Pp3c2_34890V3.1" "Pp3c2_34930V3.1" "Pp3c2_35010V3.1" "Pp3c2_35170V3.1" "Pp3c2_35200V3.1" "Pp3c2_35250V3.1" "Pp3c2_35530V3.1"
+ [813] "Pp3c2_35700V3.1" "Pp3c2_35740V3.1" "Pp3c2_35800V3.1" "Pp3c2_35910V3.1" "Pp3c2_35930V3.1" "Pp3c2_35940V3.1" "Pp3c2_35950V3.1"
+ [820] "Pp3c2_36100V3.1" "Pp3c2_36220V3.1" "Pp3c2_36410V3.1" "Pp3c2_36460V3.1" "Pp3c2_36480V3.1" "Pp3c2_36570V3.1" "Pp3c2_36790V3.1"
+ [827] "Pp3c2_36860V3.1" "Pp3c2_36990V3.1" "Pp3c2_37000V3.1" "Pp3c2_37210V3.1" "Pp3c2_37290V3.1" "Pp3c2_37299V3.1" "Pp3c2_37310V3.1"
+ [834] "Pp3c2_37670V3.1" "Pp3c2_37790V3.1" "Pp3c2_37920V3.1" "Pp3c2_37990V3.1" "Pp3c2_38020V3.1" "Pp3c2_38120V3.1" "Pp3c2_38140V3.1"
+ [841] "Pp3c2_38160V3.1" "Pp3c3_240V3.1"   "Pp3c3_330V3.1"   "Pp3c3_340V3.1"   "Pp3c3_430V3.1"   "Pp3c3_490V3.1"   "Pp3c3_620V3.1"  
+ [848] "Pp3c3_690V3.1"   "Pp3c3_884V3.1"   "Pp3c3_950V3.1"   "Pp3c3_1020V3.1"  "Pp3c3_1090V3.1"  "Pp3c3_1160V3.1"  "Pp3c3_1164V3.1" 
+ [855] "Pp3c3_1500V3.1"  "Pp3c3_1630V3.1"  "Pp3c3_1740V3.1"  "Pp3c3_1750V3.1"  "Pp3c3_1820V3.1"  "Pp3c3_1850V3.1"  "Pp3c3_1910V3.1" 
+ [862] "Pp3c3_2130V3.1"  "Pp3c3_2140V3.1"  "Pp3c3_2240V3.1"  "Pp3c3_2380V3.1"  "Pp3c3_2620V3.1"  "Pp3c3_2690V3.1"  "Pp3c3_2730V3.1" 
+ [869] "Pp3c3_2740V3.1"  "Pp3c3_2820V3.1"  "Pp3c3_2980V3.1"  "Pp3c3_3070V3.1"  "Pp3c3_3110V3.1"  "Pp3c3_3140V3.1"  "Pp3c3_3200V3.1" 
+ [876] "Pp3c3_3440V3.1"  "Pp3c3_3480V3.1"  "Pp3c3_3490V3.1"  "Pp3c3_3510V3.1"  "Pp3c3_3530V3.1"  "Pp3c3_4090V3.1"  "Pp3c3_4100V3.1" 
+ [883] "Pp3c3_4140V3.1"  "Pp3c3_4150V3.1"  "Pp3c3_4160V3.1"  "Pp3c3_4270V3.1"  "Pp3c3_4440V3.1"  "Pp3c3_5410V3.1"  "Pp3c3_5450V3.1" 
+ [890] "Pp3c3_5480V3.1"  "Pp3c3_5540V3.1"  "Pp3c3_5550V3.1"  "Pp3c3_5620V3.1"  "Pp3c3_5650V3.1"  "Pp3c3_5690V3.1"  "Pp3c3_5810V3.1" 
+ [897] "Pp3c3_5880V3.1"  "Pp3c3_5910V3.1"  "Pp3c3_6250V3.1"  "Pp3c3_6370V3.1"  "Pp3c3_6420V3.1"  "Pp3c3_6480V3.1"  "Pp3c3_6880V3.1" 
+ [904] "Pp3c3_7020V3.1"  "Pp3c3_7040V3.1"  "Pp3c3_7160V3.1"  "Pp3c3_7180V3.1"  "Pp3c3_7370V3.1"  "Pp3c3_7440V3.1"  "Pp3c3_7450V3.1" 
+ [911] "Pp3c3_7820V3.1"  "Pp3c3_7930V3.1"  "Pp3c3_8250V3.1"  "Pp3c3_8340V3.1"  "Pp3c3_8370V3.1"  "Pp3c3_8490V3.1"  "Pp3c3_8540V3.1" 
+ [918] "Pp3c3_8570V3.1"  "Pp3c3_8580V3.1"  "Pp3c3_8660V3.1"  "Pp3c3_8860V3.1"  "Pp3c3_9180V3.1"  "Pp3c3_9200V3.1"  "Pp3c3_9350V3.1" 
+ [925] "Pp3c3_9470V3.1"  "Pp3c3_9640V3.1"  "Pp3c3_9650V3.1"  "Pp3c3_9740V3.1"  "Pp3c3_9760V3.1"  "Pp3c3_9850V3.1"  "Pp3c3_9950V3.1" 
+ [932] "Pp3c3_9970V3.1"  "Pp3c3_9990V3.1"  "Pp3c3_10000V3.1" "Pp3c3_10220V3.1" "Pp3c3_10340V3.1" "Pp3c3_10350V3.1" "Pp3c3_10539V3.1"
+ [939] "Pp3c3_10560V3.1" "Pp3c3_10730V3.1" "Pp3c3_10800V3.1" "Pp3c3_10840V3.1" "Pp3c3_10900V3.1" "Pp3c3_10920V3.1" "Pp3c3_11090V3.1"
+ [946] "Pp3c3_11140V3.1" "Pp3c3_11230V3.1" "Pp3c3_11300V3.1" "Pp3c3_11650V3.1" "Pp3c3_11690V3.1" "Pp3c3_11730V3.1" "Pp3c3_11770V3.1"
+ [953] "Pp3c3_11830V3.1" "Pp3c3_11840V3.1" "Pp3c3_11932V3.1" "Pp3c3_12000V3.1" "Pp3c3_12090V3.1" "Pp3c3_12230V3.1" "Pp3c3_12310V3.1"
+ [960] "Pp3c3_12480V3.1" "Pp3c3_12490V3.1" "Pp3c3_12510V3.1" "Pp3c3_12760V3.1" "Pp3c3_12870V3.1" "Pp3c3_13130V3.1" "Pp3c3_13190V3.1"
+ [967] "Pp3c3_13220V3.1" "Pp3c3_13280V3.1" "Pp3c3_13470V3.1" "Pp3c3_13550V3.1" "Pp3c3_14080V3.1" "Pp3c3_14130V3.1" "Pp3c3_14139V3.1"
+ [974] "Pp3c3_14260V3.1" "Pp3c3_14430V3.1" "Pp3c3_14480V3.1" "Pp3c3_14510V3.1" "Pp3c3_14670V3.1" "Pp3c3_14930V3.1" "Pp3c3_14940V3.1"
+ [981] "Pp3c3_15000V3.1" "Pp3c3_15010V3.1" "Pp3c3_15190V3.1" "Pp3c3_15330V3.1" "Pp3c3_15360V3.1" "Pp3c3_15470V3.1" "Pp3c3_15530V3.1"
+ [988] "Pp3c3_15560V3.1" "Pp3c3_15780V3.1" "Pp3c3_15800V3.1" "Pp3c3_15820V3.1" "Pp3c3_16280V3.1" "Pp3c3_16290V3.1" "Pp3c3_16780V3.1"
+ [995] "Pp3c3_16790V3.1" "Pp3c3_16990V3.1" "Pp3c3_17070V3.1" "Pp3c3_17080V3.1" "Pp3c3_17110V3.1" "Pp3c3_17120V3.1"
+ [ reached getOption("max.print") -- omitted 5407 entries ]
+[1] "DEGs intersection with direction check"
+[1] 6407
+   [1] "Pp3c1_120V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"  
+   [8] "Pp3c1_690V3.1"   "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1330V3.1"  "Pp3c1_1390V3.1" 
+  [15] "Pp3c1_1570V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1"  "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1"  "Pp3c1_2010V3.1" 
+  [22] "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2420V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_3000V3.1"  "Pp3c1_3040V3.1" 
+  [29] "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1"  "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3230V3.1"  "Pp3c1_3300V3.1" 
+  [36] "Pp3c1_3440V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3590V3.1"  "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3750V3.1"  "Pp3c1_4010V3.1" 
+  [43] "Pp3c1_4030V3.1"  "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1"  "Pp3c1_4350V3.1"  "Pp3c1_4470V3.1" 
+  [50] "Pp3c1_4600V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1"  "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1" 
+  [57] "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1"  "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1" 
+  [64] "Pp3c1_6130V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1"  "Pp3c1_6500V3.1"  "Pp3c1_6640V3.1" 
+  [71] "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1"  "Pp3c1_7300V3.1"  "Pp3c1_7370V3.1" 
+  [78] "Pp3c1_7380V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1"  "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1" 
+  [85] "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7910V3.1"  "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1" 
+  [92] "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1"  "Pp3c1_8490V3.1"  "Pp3c1_8530V3.1" 
+  [99] "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1"  "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1" 
+ [106] "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9970V3.1"  "Pp3c1_10010V3.1" "Pp3c1_10080V3.1"
+ [113] "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10180V3.1" "Pp3c1_10220V3.1" "Pp3c1_10470V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1"
+ [120] "Pp3c1_10620V3.1" "Pp3c1_10810V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1" "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1"
+ [127] "Pp3c1_11980V3.1" "Pp3c1_12120V3.1" "Pp3c1_12130V3.1" "Pp3c1_12140V3.1" "Pp3c1_12470V3.1" "Pp3c1_12610V3.1" "Pp3c1_12630V3.1"
+ [134] "Pp3c1_12730V3.1" "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1" "Pp3c1_12860V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1"
+ [141] "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1" "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13830V3.1"
+ [148] "Pp3c1_13890V3.1" "Pp3c1_13910V3.1" "Pp3c1_13930V3.1" "Pp3c1_14230V3.1" "Pp3c1_14250V3.1" "Pp3c1_14330V3.1" "Pp3c1_14380V3.1"
+ [155] "Pp3c1_14670V3.1" "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1" "Pp3c1_14800V3.1" "Pp3c1_14870V3.1" "Pp3c1_14910V3.1"
+ [162] "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1" "Pp3c1_15400V3.1" "Pp3c1_15410V3.1" "Pp3c1_15690V3.1"
+ [169] "Pp3c1_15730V3.1" "Pp3c1_15750V3.1" "Pp3c1_15940V3.1" "Pp3c1_16250V3.1" "Pp3c1_16500V3.1" "Pp3c1_16780V3.1" "Pp3c1_16840V3.1"
+ [176] "Pp3c1_16850V3.1" "Pp3c1_16900V3.1" "Pp3c1_17080V3.1" "Pp3c1_17220V3.1" "Pp3c1_18130V3.1" "Pp3c1_18260V3.1" "Pp3c1_18460V3.1"
+ [183] "Pp3c1_18530V3.1" "Pp3c1_18830V3.1" "Pp3c1_18860V3.1" "Pp3c1_18910V3.1" "Pp3c1_18940V3.1" "Pp3c1_19060V3.1" "Pp3c1_19190V3.1"
+ [190] "Pp3c1_19200V3.1" "Pp3c1_19210V3.1" "Pp3c1_19230V3.1" "Pp3c1_19240V3.1" "Pp3c1_19370V3.1" "Pp3c1_19660V3.1" "Pp3c1_20280V3.1"
+ [197] "Pp3c1_20310V3.1" "Pp3c1_20610V3.1" "Pp3c1_20640V3.1" "Pp3c1_20690V3.1" "Pp3c1_20770V3.1" "Pp3c1_20870V3.1" "Pp3c1_20880V3.1"
+ [204] "Pp3c1_20960V3.1" "Pp3c1_21160V3.1" "Pp3c1_21200V3.1" "Pp3c1_21230V3.1" "Pp3c1_21270V3.1" "Pp3c1_21290V3.1" "Pp3c1_21360V3.1"
+ [211] "Pp3c1_21400V3.1" "Pp3c1_21480V3.1" "Pp3c1_21540V3.1" "Pp3c1_21550V3.1" "Pp3c1_21650V3.1" "Pp3c1_21730V3.1" "Pp3c1_21760V3.1"
+ [218] "Pp3c1_21810V3.1" "Pp3c1_21890V3.1" "Pp3c1_22090V3.1" "Pp3c1_22120V3.1" "Pp3c1_22260V3.1" "Pp3c1_22360V3.1" "Pp3c1_22450V3.1"
+ [225] "Pp3c1_22520V3.1" "Pp3c1_22540V3.1" "Pp3c1_22560V3.1" "Pp3c1_22590V3.1" "Pp3c1_22640V3.1" "Pp3c1_22690V3.1" "Pp3c1_22950V3.1"
+ [232] "Pp3c1_23010V3.1" "Pp3c1_23040V3.1" "Pp3c1_23190V3.1" "Pp3c1_23260V3.1" "Pp3c1_23300V3.1" "Pp3c1_23370V3.1" "Pp3c1_23410V3.1"
+ [239] "Pp3c1_23490V3.1" "Pp3c1_23520V3.1" "Pp3c1_23590V3.1" "Pp3c1_23600V3.1" "Pp3c1_23750V3.1" "Pp3c1_23850V3.1" "Pp3c1_23900V3.1"
+ [246] "Pp3c1_23930V3.1" "Pp3c1_23960V3.1" "Pp3c1_23970V3.1" "Pp3c1_24000V3.1" "Pp3c1_24120V3.1" "Pp3c1_24280V3.1" "Pp3c1_24500V3.1"
+ [253] "Pp3c1_24560V3.1" "Pp3c1_24600V3.1" "Pp3c1_24790V3.1" "Pp3c1_24820V3.1" "Pp3c1_24950V3.1" "Pp3c1_25000V3.1" "Pp3c1_25070V3.1"
+ [260] "Pp3c1_25080V3.1" "Pp3c1_25290V3.1" "Pp3c1_25410V3.1" "Pp3c1_25450V3.1" "Pp3c1_25640V3.1" "Pp3c1_25660V3.1" "Pp3c1_25700V3.1"
+ [267] "Pp3c1_25750V3.1" "Pp3c1_25770V3.1" "Pp3c1_25820V3.1" "Pp3c1_25850V3.1" "Pp3c1_25920V3.1" "Pp3c1_25940V3.1" "Pp3c1_26720V3.1"
+ [274] "Pp3c1_26730V3.1" "Pp3c1_26740V3.1" "Pp3c1_26780V3.1" "Pp3c1_27020V3.1" "Pp3c1_27160V3.1" "Pp3c1_27270V3.1" "Pp3c1_27440V3.1"
+ [281] "Pp3c1_27830V3.1" "Pp3c1_27990V3.1" "Pp3c1_28200V3.1" "Pp3c1_28340V3.1" "Pp3c1_28350V3.1" "Pp3c1_28370V3.1" "Pp3c1_28390V3.1"
+ [288] "Pp3c1_28430V3.1" "Pp3c1_28480V3.1" "Pp3c1_28680V3.1" "Pp3c1_28690V3.1" "Pp3c1_28750V3.1" "Pp3c1_29030V3.1" "Pp3c1_29070V3.1"
+ [295] "Pp3c1_29090V3.1" "Pp3c1_29300V3.1" "Pp3c1_29390V3.1" "Pp3c1_29440V3.1" "Pp3c1_29460V3.1" "Pp3c1_29500V3.1" "Pp3c1_29560V3.1"
+ [302] "Pp3c1_29590V3.1" "Pp3c1_29630V3.1" "Pp3c1_29650V3.1" "Pp3c1_29700V3.1" "Pp3c1_29710V3.1" "Pp3c1_29770V3.1" "Pp3c1_29970V3.1"
+ [309] "Pp3c1_30080V3.1" "Pp3c1_30090V3.1" "Pp3c1_30150V3.1" "Pp3c1_30400V3.1" "Pp3c1_30410V3.1" "Pp3c1_30620V3.1" "Pp3c1_30790V3.1"
+ [316] "Pp3c1_30960V3.1" "Pp3c1_30990V3.1" "Pp3c1_31250V3.1" "Pp3c1_31280V3.1" "Pp3c1_31440V3.1" "Pp3c1_31540V3.1" "Pp3c1_31630V3.1"
+ [323] "Pp3c1_31720V3.1" "Pp3c1_31930V3.1" "Pp3c1_32070V3.1" "Pp3c1_32090V3.1" "Pp3c1_32120V3.1" "Pp3c1_32170V3.1" "Pp3c1_32200V3.1"
+ [330] "Pp3c1_32280V3.1" "Pp3c1_32320V3.1" "Pp3c1_32350V3.1" "Pp3c1_32440V3.1" "Pp3c1_32520V3.1" "Pp3c1_32740V3.1" "Pp3c1_32760V3.1"
+ [337] "Pp3c1_32910V3.1" "Pp3c1_32920V3.1" "Pp3c1_32943V3.1" "Pp3c1_33030V3.1" "Pp3c1_33050V3.1" "Pp3c1_33120V3.1" "Pp3c1_33150V3.1"
+ [344] "Pp3c1_33290V3.1" "Pp3c1_33300V3.1" "Pp3c1_33430V3.1" "Pp3c1_33470V3.1" "Pp3c1_33480V3.1" "Pp3c1_33710V3.1" "Pp3c1_33790V3.1"
+ [351] "Pp3c1_33830V3.1" "Pp3c1_33890V3.1" "Pp3c1_34050V3.1" "Pp3c1_34210V3.1" "Pp3c1_34240V3.1" "Pp3c1_34390V3.1" "Pp3c1_34400V3.1"
+ [358] "Pp3c1_34410V3.1" "Pp3c1_34890V3.1" "Pp3c1_34950V3.1" "Pp3c1_35100V3.1" "Pp3c1_35120V3.1" "Pp3c1_35170V3.1" "Pp3c1_35220V3.1"
+ [365] "Pp3c1_35260V3.1" "Pp3c1_35321V3.1" "Pp3c1_35330V3.1" "Pp3c1_35350V3.1" "Pp3c1_35460V3.1" "Pp3c1_35630V3.1" "Pp3c1_35760V3.1"
+ [372] "Pp3c1_35820V3.1" "Pp3c1_35930V3.1" "Pp3c1_36000V3.1" "Pp3c1_36070V3.1" "Pp3c1_36080V3.1" "Pp3c1_36100V3.1" "Pp3c1_36129V3.1"
+ [379] "Pp3c1_36270V3.1" "Pp3c1_36300V3.1" "Pp3c1_36390V3.1" "Pp3c1_36400V3.1" "Pp3c1_36410V3.1" "Pp3c1_36440V3.1" "Pp3c1_36490V3.1"
+ [386] "Pp3c1_36580V3.1" "Pp3c1_37360V3.1" "Pp3c1_37760V3.1" "Pp3c1_37980V3.1" "Pp3c1_38030V3.1" "Pp3c1_38210V3.1" "Pp3c1_38250V3.1"
+ [393] "Pp3c1_38440V3.1" "Pp3c1_38600V3.1" "Pp3c1_38630V3.1" "Pp3c1_38770V3.1" "Pp3c1_38880V3.1" "Pp3c1_38950V3.1" "Pp3c1_38960V3.1"
+ [400] "Pp3c1_39100V3.1" "Pp3c1_39210V3.1" "Pp3c1_39340V3.1" "Pp3c1_39350V3.1" "Pp3c1_39460V3.1" "Pp3c1_39470V3.1" "Pp3c1_39540V3.1"
+ [407] "Pp3c1_39550V3.1" "Pp3c1_39640V3.1" "Pp3c1_39760V3.1" "Pp3c1_39780V3.1" "Pp3c1_39990V3.1" "Pp3c1_40230V3.1" "Pp3c1_40240V3.1"
+ [414] "Pp3c1_40270V3.1" "Pp3c1_40350V3.1" "Pp3c1_40490V3.1" "Pp3c1_40610V3.1" "Pp3c1_40650V3.1" "Pp3c1_40790V3.1" "Pp3c1_40840V3.1"
+ [421] "Pp3c1_40870V3.1" "Pp3c1_41090V3.1" "Pp3c1_41170V3.1" "Pp3c1_41250V3.1" "Pp3c1_41280V3.1" "Pp3c1_41310V3.1" "Pp3c1_41520V3.1"
+ [428] "Pp3c1_41710V3.1" "Pp3c1_41830V3.1" "Pp3c1_41900V3.1" "Pp3c1_41910V3.1" "Pp3c1_42020V3.1" "Pp3c1_42450V3.1" "Pp3c1_42570V3.1"
+ [435] "Pp3c1_42710V3.1" "Pp3c1_42740V3.1" "Pp3c1_42830V3.1" "Pp3c1_42870V3.1" "Pp3c2_90V3.1"    "Pp3c2_200V3.1"   "Pp3c2_530V3.1"  
+ [442] "Pp3c2_550V3.1"   "Pp3c2_570V3.1"   "Pp3c2_780V3.1"   "Pp3c2_930V3.1"   "Pp3c2_1090V3.1"  "Pp3c2_1120V3.1"  "Pp3c2_1270V3.1" 
+ [449] "Pp3c2_1280V3.1"  "Pp3c2_1510V3.1"  "Pp3c2_1520V3.1"  "Pp3c2_1570V3.1"  "Pp3c2_1820V3.1"  "Pp3c2_1870V3.1"  "Pp3c2_2070V3.1" 
+ [456] "Pp3c2_2170V3.1"  "Pp3c2_2300V3.1"  "Pp3c2_2510V3.1"  "Pp3c2_2520V3.1"  "Pp3c2_2730V3.1"  "Pp3c2_2760V3.1"  "Pp3c2_2780V3.1" 
+ [463] "Pp3c2_2820V3.1"  "Pp3c2_2830V3.1"  "Pp3c2_2980V3.1"  "Pp3c2_3180V3.1"  "Pp3c2_3210V3.1"  "Pp3c2_3480V3.1"  "Pp3c2_3490V3.1" 
+ [470] "Pp3c2_3730V3.1"  "Pp3c2_3780V3.1"  "Pp3c2_3850V3.1"  "Pp3c2_3880V3.1"  "Pp3c2_4120V3.1"  "Pp3c2_4220V3.1"  "Pp3c2_4250V3.1" 
+ [477] "Pp3c2_4270V3.1"  "Pp3c2_4380V3.1"  "Pp3c2_4390V3.1"  "Pp3c2_4480V3.1"  "Pp3c2_4490V3.1"  "Pp3c2_4520V3.1"  "Pp3c2_4650V3.1" 
+ [484] "Pp3c2_4670V3.1"  "Pp3c2_4740V3.1"  "Pp3c2_4790V3.1"  "Pp3c2_4940V3.1"  "Pp3c2_5260V3.1"  "Pp3c2_5280V3.1"  "Pp3c2_5310V3.1" 
+ [491] "Pp3c2_5440V3.1"  "Pp3c2_5460V3.1"  "Pp3c2_5490V3.1"  "Pp3c2_5625V3.1"  "Pp3c2_5780V3.1"  "Pp3c2_5910V3.1"  "Pp3c2_5960V3.1" 
+ [498] "Pp3c2_6040V3.1"  "Pp3c2_6080V3.1"  "Pp3c2_6160V3.1"  "Pp3c2_6200V3.1"  "Pp3c2_6220V3.1"  "Pp3c2_6240V3.1"  "Pp3c2_6410V3.1" 
+ [505] "Pp3c2_6520V3.1"  "Pp3c2_6560V3.1"  "Pp3c2_6630V3.1"  "Pp3c2_6650V3.1"  "Pp3c2_6690V3.1"  "Pp3c2_6730V3.1"  "Pp3c2_6740V3.1" 
+ [512] "Pp3c2_6750V3.1"  "Pp3c2_6770V3.1"  "Pp3c2_6800V3.1"  "Pp3c2_7120V3.1"  "Pp3c2_7150V3.1"  "Pp3c2_7230V3.1"  "Pp3c2_7620V3.1" 
+ [519] "Pp3c2_7760V3.1"  "Pp3c2_7940V3.1"  "Pp3c2_8099V3.1"  "Pp3c2_8340V3.1"  "Pp3c2_8360V3.1"  "Pp3c2_8410V3.1"  "Pp3c2_8420V3.1" 
+ [526] "Pp3c2_8470V3.1"  "Pp3c2_8570V3.1"  "Pp3c2_8610V3.1"  "Pp3c2_8660V3.1"  "Pp3c2_8770V3.1"  "Pp3c2_8820V3.1"  "Pp3c2_8880V3.1" 
+ [533] "Pp3c2_8960V3.1"  "Pp3c2_9080V3.1"  "Pp3c2_9150V3.1"  "Pp3c2_9310V3.1"  "Pp3c2_9460V3.1"  "Pp3c2_9470V3.1"  "Pp3c2_9480V3.1" 
+ [540] "Pp3c2_9490V3.1"  "Pp3c2_9610V3.1"  "Pp3c2_9630V3.1"  "Pp3c2_9820V3.1"  "Pp3c2_9830V3.1"  "Pp3c2_9870V3.1"  "Pp3c2_9940V3.1" 
+ [547] "Pp3c2_10070V3.1" "Pp3c2_10260V3.1" "Pp3c2_10280V3.1" "Pp3c2_10310V3.1" "Pp3c2_10530V3.1" "Pp3c2_10630V3.1" "Pp3c2_10900V3.1"
+ [554] "Pp3c2_10920V3.1" "Pp3c2_11030V3.1" "Pp3c2_11130V3.1" "Pp3c2_11190V3.1" "Pp3c2_11210V3.1" "Pp3c2_11250V3.1" "Pp3c2_11370V3.1"
+ [561] "Pp3c2_11380V3.1" "Pp3c2_11490V3.1" "Pp3c2_11580V3.1" "Pp3c2_11670V3.1" "Pp3c2_11820V3.1" "Pp3c2_11870V3.1" "Pp3c2_12080V3.1"
+ [568] "Pp3c2_12120V3.1" "Pp3c2_12240V3.1" "Pp3c2_12290V3.1" "Pp3c2_12620V3.1" "Pp3c2_12680V3.1" "Pp3c2_13250V3.1" "Pp3c2_13270V3.1"
+ [575] "Pp3c2_13280V3.1" "Pp3c2_13290V3.1" "Pp3c2_13410V3.1" "Pp3c2_13420V3.1" "Pp3c2_13450V3.1" "Pp3c2_13560V3.1" "Pp3c2_13590V3.1"
+ [582] "Pp3c2_13670V3.1" "Pp3c2_13820V3.1" "Pp3c2_13870V3.1" "Pp3c2_13880V3.1" "Pp3c2_13970V3.1" "Pp3c2_13990V3.1" "Pp3c2_14060V3.1"
+ [589] "Pp3c2_14090V3.1" "Pp3c2_14270V3.1" "Pp3c2_14290V3.1" "Pp3c2_14300V3.1" "Pp3c2_14350V3.1" "Pp3c2_14400V3.1" "Pp3c2_14470V3.1"
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+ [603] "Pp3c2_15200V3.1" "Pp3c2_15250V3.1" "Pp3c2_15400V3.1" "Pp3c2_15430V3.1" "Pp3c2_15490V3.1" "Pp3c2_15500V3.1" "Pp3c2_15510V3.1"
+ [610] "Pp3c2_15820V3.1" "Pp3c2_15900V3.1" "Pp3c2_15910V3.1" "Pp3c2_15950V3.1" "Pp3c2_16030V3.1" "Pp3c2_16160V3.1" "Pp3c2_16250V3.1"
+ [617] "Pp3c2_16300V3.1" "Pp3c2_16310V3.1" "Pp3c2_16510V3.1" "Pp3c2_16610V3.1" "Pp3c2_16740V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1"
+ [624] "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1"
+ [631] "Pp3c2_17380V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [638] "Pp3c2_17700V3.1" "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18140V3.1" "Pp3c2_18510V3.1"
+ [645] "Pp3c2_18540V3.1" "Pp3c2_18570V3.1" "Pp3c2_18600V3.1" "Pp3c2_18850V3.1" "Pp3c2_18870V3.1" "Pp3c2_19150V3.1" "Pp3c2_19170V3.1"
+ [652] "Pp3c2_19250V3.1" "Pp3c2_19260V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1" "Pp3c2_19430V3.1"
+ [659] "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19570V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1" "Pp3c2_19700V3.1"
+ [666] "Pp3c2_19780V3.1" "Pp3c2_19830V3.1" "Pp3c2_19940V3.1" "Pp3c2_19980V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1" "Pp3c2_20330V3.1"
+ [673] "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1" "Pp3c2_20860V3.1"
+ [680] "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21330V3.1" "Pp3c2_21370V3.1" "Pp3c2_21580V3.1"
+ [687] "Pp3c2_21600V3.1" "Pp3c2_21710V3.1" "Pp3c2_21940V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1" "Pp3c2_22140V3.1"
+ [694] "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1" "Pp3c2_23200V3.1" "Pp3c2_23290V3.1"
+ [701] "Pp3c2_23300V3.1" "Pp3c2_23590V3.1" "Pp3c2_23860V3.1" "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_24110V3.1" "Pp3c2_24130V3.1"
+ [708] "Pp3c2_24150V3.1" "Pp3c2_24160V3.1" "Pp3c2_24270V3.1" "Pp3c2_24640V3.1" "Pp3c2_24840V3.1" "Pp3c2_24870V3.1" "Pp3c2_25580V3.1"
+ [715] "Pp3c2_25690V3.1" "Pp3c2_25720V3.1" "Pp3c2_25890V3.1" "Pp3c2_25930V3.1" "Pp3c2_26060V3.1" "Pp3c2_26250V3.1" "Pp3c2_26270V3.1"
+ [722] "Pp3c2_26320V3.1" "Pp3c2_26540V3.1" "Pp3c2_26650V3.1" "Pp3c2_26700V3.1" "Pp3c2_26720V3.1" "Pp3c2_27180V3.1" "Pp3c2_27330V3.1"
+ [729] "Pp3c2_27350V3.1" "Pp3c2_27440V3.1" "Pp3c2_27540V3.1" "Pp3c2_27550V3.1" "Pp3c2_27590V3.1" "Pp3c2_27650V3.1" "Pp3c2_27820V3.1"
+ [736] "Pp3c2_27910V3.1" "Pp3c2_27940V3.1" "Pp3c2_28030V3.1" "Pp3c2_28040V3.1" "Pp3c2_28130V3.1" "Pp3c2_28140V3.1" "Pp3c2_28180V3.1"
+ [743] "Pp3c2_28380V3.1" "Pp3c2_28420V3.1" "Pp3c2_28540V3.1" "Pp3c2_28870V3.1" "Pp3c2_29500V3.1" "Pp3c2_29800V3.1" "Pp3c2_29840V3.1"
+ [750] "Pp3c2_30030V3.1" "Pp3c2_30250V3.1" "Pp3c2_30270V3.1" "Pp3c2_30340V3.1" "Pp3c2_30370V3.1" "Pp3c2_30390V3.1" "Pp3c2_30530V3.1"
+ [757] "Pp3c2_30580V3.1" "Pp3c2_30600V3.1" "Pp3c2_30610V3.1" "Pp3c2_30620V3.1" "Pp3c2_30630V3.1" "Pp3c2_30720V3.1" "Pp3c2_30770V3.1"
+ [764] "Pp3c2_30860V3.1" "Pp3c2_30940V3.1" "Pp3c2_30970V3.1" "Pp3c2_30980V3.1" "Pp3c2_31241V3.1" "Pp3c2_31270V3.1" "Pp3c2_31280V3.1"
+ [771] "Pp3c2_31321V3.1" "Pp3c2_31330V3.1" "Pp3c2_31470V3.1" "Pp3c2_31540V3.1" "Pp3c2_31580V3.1" "Pp3c2_31590V3.1" "Pp3c2_31610V3.1"
+ [778] "Pp3c2_31920V3.1" "Pp3c2_31930V3.1" "Pp3c2_32160V3.1" "Pp3c2_32270V3.1" "Pp3c2_32310V3.1" "Pp3c2_32320V3.1" "Pp3c2_32400V3.1"
+ [785] "Pp3c2_32410V3.1" "Pp3c2_32540V3.1" "Pp3c2_32610V3.1" "Pp3c2_32690V3.1" "Pp3c2_32740V3.1" "Pp3c2_32770V3.1" "Pp3c2_32860V3.1"
+ [792] "Pp3c2_32990V3.1" "Pp3c2_33310V3.1" "Pp3c2_33330V3.1" "Pp3c2_33430V3.1" "Pp3c2_33890V3.1" "Pp3c2_34110V3.1" "Pp3c2_34120V3.1"
+ [799] "Pp3c2_34310V3.1" "Pp3c2_34390V3.1" "Pp3c2_34540V3.1" "Pp3c2_34550V3.1" "Pp3c2_34630V3.1" "Pp3c2_34780V3.1" "Pp3c2_34820V3.1"
+ [806] "Pp3c2_34890V3.1" "Pp3c2_34930V3.1" "Pp3c2_35010V3.1" "Pp3c2_35170V3.1" "Pp3c2_35200V3.1" "Pp3c2_35250V3.1" "Pp3c2_35530V3.1"
+ [813] "Pp3c2_35700V3.1" "Pp3c2_35740V3.1" "Pp3c2_35800V3.1" "Pp3c2_35910V3.1" "Pp3c2_35930V3.1" "Pp3c2_35940V3.1" "Pp3c2_35950V3.1"
+ [820] "Pp3c2_36100V3.1" "Pp3c2_36220V3.1" "Pp3c2_36410V3.1" "Pp3c2_36460V3.1" "Pp3c2_36480V3.1" "Pp3c2_36570V3.1" "Pp3c2_36790V3.1"
+ [827] "Pp3c2_36860V3.1" "Pp3c2_36990V3.1" "Pp3c2_37000V3.1" "Pp3c2_37210V3.1" "Pp3c2_37290V3.1" "Pp3c2_37299V3.1" "Pp3c2_37310V3.1"
+ [834] "Pp3c2_37670V3.1" "Pp3c2_37790V3.1" "Pp3c2_37920V3.1" "Pp3c2_37990V3.1" "Pp3c2_38020V3.1" "Pp3c2_38120V3.1" "Pp3c2_38140V3.1"
+ [841] "Pp3c2_38160V3.1" "Pp3c3_240V3.1"   "Pp3c3_330V3.1"   "Pp3c3_340V3.1"   "Pp3c3_430V3.1"   "Pp3c3_490V3.1"   "Pp3c3_620V3.1"  
+ [848] "Pp3c3_690V3.1"   "Pp3c3_884V3.1"   "Pp3c3_950V3.1"   "Pp3c3_1020V3.1"  "Pp3c3_1090V3.1"  "Pp3c3_1160V3.1"  "Pp3c3_1164V3.1" 
+ [855] "Pp3c3_1500V3.1"  "Pp3c3_1630V3.1"  "Pp3c3_1740V3.1"  "Pp3c3_1750V3.1"  "Pp3c3_1820V3.1"  "Pp3c3_1850V3.1"  "Pp3c3_1910V3.1" 
+ [862] "Pp3c3_2130V3.1"  "Pp3c3_2140V3.1"  "Pp3c3_2240V3.1"  "Pp3c3_2380V3.1"  "Pp3c3_2620V3.1"  "Pp3c3_2690V3.1"  "Pp3c3_2730V3.1" 
+ [869] "Pp3c3_2740V3.1"  "Pp3c3_2820V3.1"  "Pp3c3_2980V3.1"  "Pp3c3_3070V3.1"  "Pp3c3_3110V3.1"  "Pp3c3_3140V3.1"  "Pp3c3_3200V3.1" 
+ [876] "Pp3c3_3440V3.1"  "Pp3c3_3480V3.1"  "Pp3c3_3490V3.1"  "Pp3c3_3510V3.1"  "Pp3c3_3530V3.1"  "Pp3c3_4090V3.1"  "Pp3c3_4100V3.1" 
+ [883] "Pp3c3_4140V3.1"  "Pp3c3_4150V3.1"  "Pp3c3_4160V3.1"  "Pp3c3_4270V3.1"  "Pp3c3_4440V3.1"  "Pp3c3_5410V3.1"  "Pp3c3_5450V3.1" 
+ [890] "Pp3c3_5480V3.1"  "Pp3c3_5540V3.1"  "Pp3c3_5550V3.1"  "Pp3c3_5620V3.1"  "Pp3c3_5650V3.1"  "Pp3c3_5690V3.1"  "Pp3c3_5810V3.1" 
+ [897] "Pp3c3_5880V3.1"  "Pp3c3_5910V3.1"  "Pp3c3_6250V3.1"  "Pp3c3_6370V3.1"  "Pp3c3_6420V3.1"  "Pp3c3_6480V3.1"  "Pp3c3_6880V3.1" 
+ [904] "Pp3c3_7020V3.1"  "Pp3c3_7040V3.1"  "Pp3c3_7160V3.1"  "Pp3c3_7180V3.1"  "Pp3c3_7370V3.1"  "Pp3c3_7440V3.1"  "Pp3c3_7450V3.1" 
+ [911] "Pp3c3_7820V3.1"  "Pp3c3_7930V3.1"  "Pp3c3_8250V3.1"  "Pp3c3_8340V3.1"  "Pp3c3_8370V3.1"  "Pp3c3_8490V3.1"  "Pp3c3_8540V3.1" 
+ [918] "Pp3c3_8570V3.1"  "Pp3c3_8580V3.1"  "Pp3c3_8660V3.1"  "Pp3c3_8860V3.1"  "Pp3c3_9180V3.1"  "Pp3c3_9200V3.1"  "Pp3c3_9350V3.1" 
+ [925] "Pp3c3_9470V3.1"  "Pp3c3_9640V3.1"  "Pp3c3_9650V3.1"  "Pp3c3_9740V3.1"  "Pp3c3_9760V3.1"  "Pp3c3_9850V3.1"  "Pp3c3_9950V3.1" 
+ [932] "Pp3c3_9970V3.1"  "Pp3c3_9990V3.1"  "Pp3c3_10000V3.1" "Pp3c3_10220V3.1" "Pp3c3_10340V3.1" "Pp3c3_10350V3.1" "Pp3c3_10539V3.1"
+ [939] "Pp3c3_10560V3.1" "Pp3c3_10730V3.1" "Pp3c3_10800V3.1" "Pp3c3_10840V3.1" "Pp3c3_10900V3.1" "Pp3c3_10920V3.1" "Pp3c3_11090V3.1"
+ [946] "Pp3c3_11140V3.1" "Pp3c3_11230V3.1" "Pp3c3_11300V3.1" "Pp3c3_11650V3.1" "Pp3c3_11690V3.1" "Pp3c3_11730V3.1" "Pp3c3_11770V3.1"
+ [953] "Pp3c3_11830V3.1" "Pp3c3_11840V3.1" "Pp3c3_11932V3.1" "Pp3c3_12000V3.1" "Pp3c3_12090V3.1" "Pp3c3_12230V3.1" "Pp3c3_12310V3.1"
+ [960] "Pp3c3_12480V3.1" "Pp3c3_12490V3.1" "Pp3c3_12510V3.1" "Pp3c3_12760V3.1" "Pp3c3_12870V3.1" "Pp3c3_13130V3.1" "Pp3c3_13190V3.1"
+ [967] "Pp3c3_13220V3.1" "Pp3c3_13280V3.1" "Pp3c3_13470V3.1" "Pp3c3_13550V3.1" "Pp3c3_14080V3.1" "Pp3c3_14130V3.1" "Pp3c3_14139V3.1"
+ [974] "Pp3c3_14260V3.1" "Pp3c3_14430V3.1" "Pp3c3_14480V3.1" "Pp3c3_14510V3.1" "Pp3c3_14670V3.1" "Pp3c3_14930V3.1" "Pp3c3_14940V3.1"
+ [981] "Pp3c3_15000V3.1" "Pp3c3_15010V3.1" "Pp3c3_15190V3.1" "Pp3c3_15330V3.1" "Pp3c3_15360V3.1" "Pp3c3_15470V3.1" "Pp3c3_15530V3.1"
+ [988] "Pp3c3_15560V3.1" "Pp3c3_15780V3.1" "Pp3c3_15800V3.1" "Pp3c3_15820V3.1" "Pp3c3_16280V3.1" "Pp3c3_16290V3.1" "Pp3c3_16780V3.1"
+ [995] "Pp3c3_16790V3.1" "Pp3c3_16990V3.1" "Pp3c3_17070V3.1" "Pp3c3_17080V3.1" "Pp3c3_17110V3.1" "Pp3c3_17120V3.1"
+ [ reached getOption("max.print") -- omitted 5407 entries ]
+[1] "DEGs edgeR"
+[1] 12398
+[1] "DEGs deseq2"
+[1] 10676
+[1] "DEGs noiseq"
+[1] 6665
+[1] "DEGs noiseqbio"
+[1] 8111
+[1] "DEGs intersection without direction check  (three methods)"
+[1] 6610
+   [1] "Pp3c1_120V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"  
+   [8] "Pp3c1_690V3.1"   "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1330V3.1"  "Pp3c1_1360V3.1" 
+  [15] "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1"  "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1" 
+  [22] "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2420V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_3000V3.1" 
+  [29] "Pp3c1_3040V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1"  "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3230V3.1" 
+  [36] "Pp3c1_3300V3.1"  "Pp3c1_3440V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3590V3.1"  "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3750V3.1" 
+  [43] "Pp3c1_3930V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1"  "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1" 
+  [50] "Pp3c1_4350V3.1"  "Pp3c1_4470V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [57] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1" 
+  [64] "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6130V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1" 
+  [71] "Pp3c1_6500V3.1"  "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1" 
+  [78] "Pp3c1_7300V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1" 
+  [85] "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7910V3.1" 
+  [92] "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1" 
+  [99] "Pp3c1_8490V3.1"  "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1" 
+ [106] "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9970V3.1" 
+ [113] "Pp3c1_10010V3.1" "Pp3c1_10080V3.1" "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10180V3.1" "Pp3c1_10220V3.1" "Pp3c1_10400V3.1"
+ [120] "Pp3c1_10470V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1" "Pp3c1_10810V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1"
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+ [638] "Pp3c2_16310V3.1" "Pp3c2_16510V3.1" "Pp3c2_16610V3.1" "Pp3c2_16660V3.1" "Pp3c2_16740V3.1" "Pp3c2_16770V3.1" "Pp3c2_16830V3.1"
+ [645] "Pp3c2_17000V3.1" "Pp3c2_17040V3.1" "Pp3c2_17110V3.1" "Pp3c2_17140V3.1" "Pp3c2_17270V3.1" "Pp3c2_17290V3.1" "Pp3c2_17370V3.1"
+ [652] "Pp3c2_17380V3.1" "Pp3c2_17450V3.1" "Pp3c2_17510V3.1" "Pp3c2_17540V3.1" "Pp3c2_17560V3.1" "Pp3c2_17640V3.1" "Pp3c2_17670V3.1"
+ [659] "Pp3c2_17700V3.1" "Pp3c2_17710V3.1" "Pp3c2_17900V3.1" "Pp3c2_18020V3.1" "Pp3c2_18110V3.1" "Pp3c2_18140V3.1" "Pp3c2_18450V3.1"
+ [666] "Pp3c2_18510V3.1" "Pp3c2_18540V3.1" "Pp3c2_18570V3.1" "Pp3c2_18600V3.1" "Pp3c2_18850V3.1" "Pp3c2_18870V3.1" "Pp3c2_19150V3.1"
+ [673] "Pp3c2_19170V3.1" "Pp3c2_19250V3.1" "Pp3c2_19260V3.1" "Pp3c2_19310V3.1" "Pp3c2_19330V3.1" "Pp3c2_19380V3.1" "Pp3c2_19400V3.1"
+ [680] "Pp3c2_19430V3.1" "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19570V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1"
+ [687] "Pp3c2_19700V3.1" "Pp3c2_19780V3.1" "Pp3c2_19830V3.1" "Pp3c2_19940V3.1" "Pp3c2_19980V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1"
+ [694] "Pp3c2_20330V3.1" "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1"
+ [701] "Pp3c2_20860V3.1" "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21330V3.1" "Pp3c2_21370V3.1"
+ [708] "Pp3c2_21580V3.1" "Pp3c2_21600V3.1" "Pp3c2_21710V3.1" "Pp3c2_21940V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1"
+ [715] "Pp3c2_22140V3.1" "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1" "Pp3c2_23200V3.1"
+ [722] "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23590V3.1" "Pp3c2_23860V3.1" "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_24110V3.1"
+ [729] "Pp3c2_24130V3.1" "Pp3c2_24150V3.1" "Pp3c2_24160V3.1" "Pp3c2_24270V3.1" "Pp3c2_24290V3.1" "Pp3c2_24640V3.1" "Pp3c2_24840V3.1"
+ [736] "Pp3c2_24870V3.1" "Pp3c2_25170V3.1" "Pp3c2_25580V3.1" "Pp3c2_25690V3.1" "Pp3c2_25720V3.1" "Pp3c2_25890V3.1" "Pp3c2_25930V3.1"
+ [743] "Pp3c2_26060V3.1" "Pp3c2_26250V3.1" "Pp3c2_26270V3.1" "Pp3c2_26320V3.1" "Pp3c2_26540V3.1" "Pp3c2_26650V3.1" "Pp3c2_26700V3.1"
+ [750] "Pp3c2_26720V3.1" "Pp3c2_27180V3.1" "Pp3c2_27330V3.1" "Pp3c2_27350V3.1" "Pp3c2_27440V3.1" "Pp3c2_27510V3.1" "Pp3c2_27540V3.1"
+ [757] "Pp3c2_27550V3.1" "Pp3c2_27590V3.1" "Pp3c2_27650V3.1" "Pp3c2_27820V3.1" "Pp3c2_27910V3.1" "Pp3c2_27940V3.1" "Pp3c2_27970V3.1"
+ [764] "Pp3c2_27980V3.1" "Pp3c2_28030V3.1" "Pp3c2_28040V3.1" "Pp3c2_28130V3.1" "Pp3c2_28140V3.1" "Pp3c2_28180V3.1" "Pp3c2_28380V3.1"
+ [771] "Pp3c2_28420V3.1" "Pp3c2_28540V3.1" "Pp3c2_28870V3.1" "Pp3c2_29040V3.1" "Pp3c2_29500V3.1" "Pp3c2_29800V3.1" "Pp3c2_29840V3.1"
+ [778] "Pp3c2_30030V3.1" "Pp3c2_30250V3.1" "Pp3c2_30270V3.1" "Pp3c2_30340V3.1" "Pp3c2_30370V3.1" "Pp3c2_30390V3.1" "Pp3c2_30530V3.1"
+ [785] "Pp3c2_30580V3.1" "Pp3c2_30600V3.1" "Pp3c2_30610V3.1" "Pp3c2_30620V3.1" "Pp3c2_30630V3.1" "Pp3c2_30720V3.1" "Pp3c2_30770V3.1"
+ [792] "Pp3c2_30860V3.1" "Pp3c2_30940V3.1" "Pp3c2_30970V3.1" "Pp3c2_30980V3.1" "Pp3c2_31241V3.1" "Pp3c2_31270V3.1" "Pp3c2_31280V3.1"
+ [799] "Pp3c2_31321V3.1" "Pp3c2_31330V3.1" "Pp3c2_31470V3.1" "Pp3c2_31540V3.1" "Pp3c2_31580V3.1" "Pp3c2_31590V3.1" "Pp3c2_31610V3.1"
+ [806] "Pp3c2_31920V3.1" "Pp3c2_31930V3.1" "Pp3c2_32160V3.1" "Pp3c2_32270V3.1" "Pp3c2_32310V3.1" "Pp3c2_32320V3.1" "Pp3c2_32400V3.1"
+ [813] "Pp3c2_32410V3.1" "Pp3c2_32540V3.1" "Pp3c2_32610V3.1" "Pp3c2_32690V3.1" "Pp3c2_32740V3.1" "Pp3c2_32770V3.1" "Pp3c2_32860V3.1"
+ [820] "Pp3c2_32990V3.1" "Pp3c2_33310V3.1" "Pp3c2_33330V3.1" "Pp3c2_33430V3.1" "Pp3c2_33890V3.1" "Pp3c2_34110V3.1" "Pp3c2_34120V3.1"
+ [827] "Pp3c2_34310V3.1" "Pp3c2_34390V3.1" "Pp3c2_34540V3.1" "Pp3c2_34550V3.1" "Pp3c2_34630V3.1" "Pp3c2_34780V3.1" "Pp3c2_34820V3.1"
+ [834] "Pp3c2_34890V3.1" "Pp3c2_34930V3.1" "Pp3c2_35010V3.1" "Pp3c2_35170V3.1" "Pp3c2_35200V3.1" "Pp3c2_35250V3.1" "Pp3c2_35530V3.1"
+ [841] "Pp3c2_35700V3.1" "Pp3c2_35740V3.1" "Pp3c2_35800V3.1" "Pp3c2_35910V3.1" "Pp3c2_35930V3.1" "Pp3c2_35940V3.1" "Pp3c2_35950V3.1"
+ [848] "Pp3c2_36100V3.1" "Pp3c2_36220V3.1" "Pp3c2_36410V3.1" "Pp3c2_36460V3.1" "Pp3c2_36480V3.1" "Pp3c2_36570V3.1" "Pp3c2_36790V3.1"
+ [855] "Pp3c2_36860V3.1" "Pp3c2_36990V3.1" "Pp3c2_37000V3.1" "Pp3c2_37210V3.1" "Pp3c2_37290V3.1" "Pp3c2_37299V3.1" "Pp3c2_37310V3.1"
+ [862] "Pp3c2_37670V3.1" "Pp3c2_37790V3.1" "Pp3c2_37920V3.1" "Pp3c2_37990V3.1" "Pp3c2_38020V3.1" "Pp3c2_38120V3.1" "Pp3c2_38140V3.1"
+ [869] "Pp3c2_38160V3.1" "Pp3c3_240V3.1"   "Pp3c3_330V3.1"   "Pp3c3_340V3.1"   "Pp3c3_430V3.1"   "Pp3c3_490V3.1"   "Pp3c3_620V3.1"  
+ [876] "Pp3c3_690V3.1"   "Pp3c3_810V3.1"   "Pp3c3_884V3.1"   "Pp3c3_950V3.1"   "Pp3c3_1020V3.1"  "Pp3c3_1090V3.1"  "Pp3c3_1160V3.1" 
+ [883] "Pp3c3_1164V3.1"  "Pp3c3_1500V3.1"  "Pp3c3_1630V3.1"  "Pp3c3_1740V3.1"  "Pp3c3_1750V3.1"  "Pp3c3_1820V3.1"  "Pp3c3_1850V3.1" 
+ [890] "Pp3c3_1910V3.1"  "Pp3c3_2130V3.1"  "Pp3c3_2140V3.1"  "Pp3c3_2240V3.1"  "Pp3c3_2270V3.1"  "Pp3c3_2380V3.1"  "Pp3c3_2620V3.1" 
+ [897] "Pp3c3_2690V3.1"  "Pp3c3_2730V3.1"  "Pp3c3_2740V3.1"  "Pp3c3_2820V3.1"  "Pp3c3_2980V3.1"  "Pp3c3_3070V3.1"  "Pp3c3_3110V3.1" 
+ [904] "Pp3c3_3140V3.1"  "Pp3c3_3200V3.1"  "Pp3c3_3440V3.1"  "Pp3c3_3480V3.1"  "Pp3c3_3490V3.1"  "Pp3c3_3510V3.1"  "Pp3c3_3530V3.1" 
+ [911] "Pp3c3_4090V3.1"  "Pp3c3_4100V3.1"  "Pp3c3_4140V3.1"  "Pp3c3_4150V3.1"  "Pp3c3_4160V3.1"  "Pp3c3_4270V3.1"  "Pp3c3_4440V3.1" 
+ [918] "Pp3c3_5410V3.1"  "Pp3c3_5450V3.1"  "Pp3c3_5480V3.1"  "Pp3c3_5540V3.1"  "Pp3c3_5550V3.1"  "Pp3c3_5620V3.1"  "Pp3c3_5650V3.1" 
+ [925] "Pp3c3_5690V3.1"  "Pp3c3_5810V3.1"  "Pp3c3_5880V3.1"  "Pp3c3_5910V3.1"  "Pp3c3_6250V3.1"  "Pp3c3_6370V3.1"  "Pp3c3_6420V3.1" 
+ [932] "Pp3c3_6480V3.1"  "Pp3c3_6880V3.1"  "Pp3c3_7020V3.1"  "Pp3c3_7040V3.1"  "Pp3c3_7160V3.1"  "Pp3c3_7180V3.1"  "Pp3c3_7370V3.1" 
+ [939] "Pp3c3_7440V3.1"  "Pp3c3_7450V3.1"  "Pp3c3_7820V3.1"  "Pp3c3_7930V3.1"  "Pp3c3_8250V3.1"  "Pp3c3_8340V3.1"  "Pp3c3_8370V3.1" 
+ [946] "Pp3c3_8490V3.1"  "Pp3c3_8540V3.1"  "Pp3c3_8570V3.1"  "Pp3c3_8580V3.1"  "Pp3c3_8660V3.1"  "Pp3c3_8860V3.1"  "Pp3c3_9180V3.1" 
+ [953] "Pp3c3_9200V3.1"  "Pp3c3_9350V3.1"  "Pp3c3_9470V3.1"  "Pp3c3_9640V3.1"  "Pp3c3_9650V3.1"  "Pp3c3_9740V3.1"  "Pp3c3_9760V3.1" 
+ [960] "Pp3c3_9850V3.1"  "Pp3c3_9950V3.1"  "Pp3c3_9970V3.1"  "Pp3c3_9990V3.1"  "Pp3c3_10000V3.1" "Pp3c3_10220V3.1" "Pp3c3_10340V3.1"
+ [967] "Pp3c3_10350V3.1" "Pp3c3_10539V3.1" "Pp3c3_10560V3.1" "Pp3c3_10730V3.1" "Pp3c3_10800V3.1" "Pp3c3_10840V3.1" "Pp3c3_10900V3.1"
+ [974] "Pp3c3_10920V3.1" "Pp3c3_11090V3.1" "Pp3c3_11140V3.1" "Pp3c3_11230V3.1" "Pp3c3_11300V3.1" "Pp3c3_11650V3.1" "Pp3c3_11690V3.1"
+ [981] "Pp3c3_11730V3.1" "Pp3c3_11770V3.1" "Pp3c3_11780V3.1" "Pp3c3_11830V3.1" "Pp3c3_11840V3.1" "Pp3c3_11932V3.1" "Pp3c3_12000V3.1"
+ [988] "Pp3c3_12090V3.1" "Pp3c3_12230V3.1" "Pp3c3_12310V3.1" "Pp3c3_12480V3.1" "Pp3c3_12490V3.1" "Pp3c3_12510V3.1" "Pp3c3_12760V3.1"
+ [995] "Pp3c3_12870V3.1" "Pp3c3_13130V3.1" "Pp3c3_13190V3.1" "Pp3c3_13210V3.1" "Pp3c3_13220V3.1" "Pp3c3_13280V3.1"
+ [ reached getOption("max.print") -- omitted 5610 entries ]
+[1] "DEGs intersection with direction check"
+[1] 6610
+   [1] "Pp3c1_120V3.1"   "Pp3c1_200V3.1"   "Pp3c1_370V3.1"   "Pp3c1_470V3.1"   "Pp3c1_540V3.1"   "Pp3c1_580V3.1"   "Pp3c1_620V3.1"  
+   [8] "Pp3c1_690V3.1"   "Pp3c1_900V3.1"   "Pp3c1_950V3.1"   "Pp3c1_1000V3.1"  "Pp3c1_1160V3.1"  "Pp3c1_1330V3.1"  "Pp3c1_1360V3.1" 
+  [15] "Pp3c1_1390V3.1"  "Pp3c1_1570V3.1"  "Pp3c1_1800V3.1"  "Pp3c1_1810V3.1"  "Pp3c1_1860V3.1"  "Pp3c1_1870V3.1"  "Pp3c1_1940V3.1" 
+  [22] "Pp3c1_2010V3.1"  "Pp3c1_2170V3.1"  "Pp3c1_2210V3.1"  "Pp3c1_2220V3.1"  "Pp3c1_2420V3.1"  "Pp3c1_2540V3.1"  "Pp3c1_3000V3.1" 
+  [29] "Pp3c1_3040V3.1"  "Pp3c1_3160V3.1"  "Pp3c1_3180V3.1"  "Pp3c1_3200V3.1"  "Pp3c1_3210V3.1"  "Pp3c1_3220V3.1"  "Pp3c1_3230V3.1" 
+  [36] "Pp3c1_3300V3.1"  "Pp3c1_3440V3.1"  "Pp3c1_3500V3.1"  "Pp3c1_3590V3.1"  "Pp3c1_3610V3.1"  "Pp3c1_3700V3.1"  "Pp3c1_3750V3.1" 
+  [43] "Pp3c1_3930V3.1"  "Pp3c1_4010V3.1"  "Pp3c1_4030V3.1"  "Pp3c1_4050V3.1"  "Pp3c1_4140V3.1"  "Pp3c1_4180V3.1"  "Pp3c1_4270V3.1" 
+  [50] "Pp3c1_4350V3.1"  "Pp3c1_4470V3.1"  "Pp3c1_4600V3.1"  "Pp3c1_4990V3.1"  "Pp3c1_5050V3.1"  "Pp3c1_5280V3.1"  "Pp3c1_5300V3.1" 
+  [57] "Pp3c1_5320V3.1"  "Pp3c1_5460V3.1"  "Pp3c1_5570V3.1"  "Pp3c1_5800V3.1"  "Pp3c1_5820V3.1"  "Pp3c1_6020V3.1"  "Pp3c1_6050V3.1" 
+  [64] "Pp3c1_6090V3.1"  "Pp3c1_6110V3.1"  "Pp3c1_6130V3.1"  "Pp3c1_6280V3.1"  "Pp3c1_6360V3.1"  "Pp3c1_6450V3.1"  "Pp3c1_6470V3.1" 
+  [71] "Pp3c1_6500V3.1"  "Pp3c1_6640V3.1"  "Pp3c1_6750V3.1"  "Pp3c1_6930V3.1"  "Pp3c1_7030V3.1"  "Pp3c1_7160V3.1"  "Pp3c1_7170V3.1" 
+  [78] "Pp3c1_7300V3.1"  "Pp3c1_7370V3.1"  "Pp3c1_7380V3.1"  "Pp3c1_7450V3.1"  "Pp3c1_7500V3.1"  "Pp3c1_7520V3.1"  "Pp3c1_7540V3.1" 
+  [85] "Pp3c1_7590V3.1"  "Pp3c1_7710V3.1"  "Pp3c1_7720V3.1"  "Pp3c1_7800V3.1"  "Pp3c1_7810V3.1"  "Pp3c1_7830V3.1"  "Pp3c1_7910V3.1" 
+  [92] "Pp3c1_7950V3.1"  "Pp3c1_8060V3.1"  "Pp3c1_8110V3.1"  "Pp3c1_8170V3.1"  "Pp3c1_8190V3.1"  "Pp3c1_8210V3.1"  "Pp3c1_8280V3.1" 
+  [99] "Pp3c1_8490V3.1"  "Pp3c1_8530V3.1"  "Pp3c1_8550V3.1"  "Pp3c1_8870V3.1"  "Pp3c1_8890V3.1"  "Pp3c1_9180V3.1"  "Pp3c1_9250V3.1" 
+ [106] "Pp3c1_9290V3.1"  "Pp3c1_9320V3.1"  "Pp3c1_9560V3.1"  "Pp3c1_9600V3.1"  "Pp3c1_9790V3.1"  "Pp3c1_9860V3.1"  "Pp3c1_9970V3.1" 
+ [113] "Pp3c1_10010V3.1" "Pp3c1_10080V3.1" "Pp3c1_10090V3.1" "Pp3c1_10100V3.1" "Pp3c1_10180V3.1" "Pp3c1_10220V3.1" "Pp3c1_10400V3.1"
+ [120] "Pp3c1_10470V3.1" "Pp3c1_10540V3.1" "Pp3c1_10570V3.1" "Pp3c1_10620V3.1" "Pp3c1_10810V3.1" "Pp3c1_10970V3.1" "Pp3c1_11030V3.1"
+ [127] "Pp3c1_11050V3.1" "Pp3c1_11090V3.1" "Pp3c1_11190V3.1" "Pp3c1_11980V3.1" "Pp3c1_12120V3.1" "Pp3c1_12130V3.1" "Pp3c1_12140V3.1"
+ [134] "Pp3c1_12470V3.1" "Pp3c1_12610V3.1" "Pp3c1_12630V3.1" "Pp3c1_12730V3.1" "Pp3c1_12790V3.1" "Pp3c1_12810V3.1" "Pp3c1_12850V3.1"
+ [141] "Pp3c1_12860V3.1" "Pp3c1_13120V3.1" "Pp3c1_13170V3.1" "Pp3c1_13308V3.1" "Pp3c1_13430V3.1" "Pp3c1_13570V3.1" "Pp3c1_13640V3.1"
+ [148] "Pp3c1_13670V3.1" "Pp3c1_13671V3.1" "Pp3c1_13830V3.1" "Pp3c1_13890V3.1" "Pp3c1_13910V3.1" "Pp3c1_13930V3.1" "Pp3c1_14230V3.1"
+ [155] "Pp3c1_14250V3.1" "Pp3c1_14330V3.1" "Pp3c1_14380V3.1" "Pp3c1_14670V3.1" "Pp3c1_14740V3.1" "Pp3c1_14760V3.1" "Pp3c1_14770V3.1"
+ [162] "Pp3c1_14800V3.1" "Pp3c1_14870V3.1" "Pp3c1_14910V3.1" "Pp3c1_14980V3.1" "Pp3c1_15010V3.1" "Pp3c1_15160V3.1" "Pp3c1_15210V3.1"
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+ [680] "Pp3c2_19430V3.1" "Pp3c2_19520V3.1" "Pp3c2_19550V3.1" "Pp3c2_19570V3.1" "Pp3c2_19610V3.1" "Pp3c2_19640V3.1" "Pp3c2_19660V3.1"
+ [687] "Pp3c2_19700V3.1" "Pp3c2_19780V3.1" "Pp3c2_19830V3.1" "Pp3c2_19940V3.1" "Pp3c2_19980V3.1" "Pp3c2_20240V3.1" "Pp3c2_20320V3.1"
+ [694] "Pp3c2_20330V3.1" "Pp3c2_20450V3.1" "Pp3c2_20500V3.1" "Pp3c2_20550V3.1" "Pp3c2_20630V3.1" "Pp3c2_20660V3.1" "Pp3c2_20840V3.1"
+ [701] "Pp3c2_20860V3.1" "Pp3c2_20930V3.1" "Pp3c2_21100V3.1" "Pp3c2_21290V3.1" "Pp3c2_21310V3.1" "Pp3c2_21330V3.1" "Pp3c2_21370V3.1"
+ [708] "Pp3c2_21580V3.1" "Pp3c2_21600V3.1" "Pp3c2_21710V3.1" "Pp3c2_21940V3.1" "Pp3c2_21970V3.1" "Pp3c2_22000V3.1" "Pp3c2_22020V3.1"
+ [715] "Pp3c2_22140V3.1" "Pp3c2_22190V3.1" "Pp3c2_22310V3.1" "Pp3c2_22570V3.1" "Pp3c2_22630V3.1" "Pp3c2_23100V3.1" "Pp3c2_23200V3.1"
+ [722] "Pp3c2_23290V3.1" "Pp3c2_23300V3.1" "Pp3c2_23590V3.1" "Pp3c2_23860V3.1" "Pp3c2_23870V3.1" "Pp3c2_23900V3.1" "Pp3c2_24110V3.1"
+ [729] "Pp3c2_24130V3.1" "Pp3c2_24150V3.1" "Pp3c2_24160V3.1" "Pp3c2_24270V3.1" "Pp3c2_24290V3.1" "Pp3c2_24640V3.1" "Pp3c2_24840V3.1"
+ [736] "Pp3c2_24870V3.1" "Pp3c2_25170V3.1" "Pp3c2_25580V3.1" "Pp3c2_25690V3.1" "Pp3c2_25720V3.1" "Pp3c2_25890V3.1" "Pp3c2_25930V3.1"
+ [743] "Pp3c2_26060V3.1" "Pp3c2_26250V3.1" "Pp3c2_26270V3.1" "Pp3c2_26320V3.1" "Pp3c2_26540V3.1" "Pp3c2_26650V3.1" "Pp3c2_26700V3.1"
+ [750] "Pp3c2_26720V3.1" "Pp3c2_27180V3.1" "Pp3c2_27330V3.1" "Pp3c2_27350V3.1" "Pp3c2_27440V3.1" "Pp3c2_27510V3.1" "Pp3c2_27540V3.1"
+ [757] "Pp3c2_27550V3.1" "Pp3c2_27590V3.1" "Pp3c2_27650V3.1" "Pp3c2_27820V3.1" "Pp3c2_27910V3.1" "Pp3c2_27940V3.1" "Pp3c2_27970V3.1"
+ [764] "Pp3c2_27980V3.1" "Pp3c2_28030V3.1" "Pp3c2_28040V3.1" "Pp3c2_28130V3.1" "Pp3c2_28140V3.1" "Pp3c2_28180V3.1" "Pp3c2_28380V3.1"
+ [771] "Pp3c2_28420V3.1" "Pp3c2_28540V3.1" "Pp3c2_28870V3.1" "Pp3c2_29040V3.1" "Pp3c2_29500V3.1" "Pp3c2_29800V3.1" "Pp3c2_29840V3.1"
+ [778] "Pp3c2_30030V3.1" "Pp3c2_30250V3.1" "Pp3c2_30270V3.1" "Pp3c2_30340V3.1" "Pp3c2_30370V3.1" "Pp3c2_30390V3.1" "Pp3c2_30530V3.1"
+ [785] "Pp3c2_30580V3.1" "Pp3c2_30600V3.1" "Pp3c2_30610V3.1" "Pp3c2_30620V3.1" "Pp3c2_30630V3.1" "Pp3c2_30720V3.1" "Pp3c2_30770V3.1"
+ [792] "Pp3c2_30860V3.1" "Pp3c2_30940V3.1" "Pp3c2_30970V3.1" "Pp3c2_30980V3.1" "Pp3c2_31241V3.1" "Pp3c2_31270V3.1" "Pp3c2_31280V3.1"
+ [799] "Pp3c2_31321V3.1" "Pp3c2_31330V3.1" "Pp3c2_31470V3.1" "Pp3c2_31540V3.1" "Pp3c2_31580V3.1" "Pp3c2_31590V3.1" "Pp3c2_31610V3.1"
+ [806] "Pp3c2_31920V3.1" "Pp3c2_31930V3.1" "Pp3c2_32160V3.1" "Pp3c2_32270V3.1" "Pp3c2_32310V3.1" "Pp3c2_32320V3.1" "Pp3c2_32400V3.1"
+ [813] "Pp3c2_32410V3.1" "Pp3c2_32540V3.1" "Pp3c2_32610V3.1" "Pp3c2_32690V3.1" "Pp3c2_32740V3.1" "Pp3c2_32770V3.1" "Pp3c2_32860V3.1"
+ [820] "Pp3c2_32990V3.1" "Pp3c2_33310V3.1" "Pp3c2_33330V3.1" "Pp3c2_33430V3.1" "Pp3c2_33890V3.1" "Pp3c2_34110V3.1" "Pp3c2_34120V3.1"
+ [827] "Pp3c2_34310V3.1" "Pp3c2_34390V3.1" "Pp3c2_34540V3.1" "Pp3c2_34550V3.1" "Pp3c2_34630V3.1" "Pp3c2_34780V3.1" "Pp3c2_34820V3.1"
+ [834] "Pp3c2_34890V3.1" "Pp3c2_34930V3.1" "Pp3c2_35010V3.1" "Pp3c2_35170V3.1" "Pp3c2_35200V3.1" "Pp3c2_35250V3.1" "Pp3c2_35530V3.1"
+ [841] "Pp3c2_35700V3.1" "Pp3c2_35740V3.1" "Pp3c2_35800V3.1" "Pp3c2_35910V3.1" "Pp3c2_35930V3.1" "Pp3c2_35940V3.1" "Pp3c2_35950V3.1"
+ [848] "Pp3c2_36100V3.1" "Pp3c2_36220V3.1" "Pp3c2_36410V3.1" "Pp3c2_36460V3.1" "Pp3c2_36480V3.1" "Pp3c2_36570V3.1" "Pp3c2_36790V3.1"
+ [855] "Pp3c2_36860V3.1" "Pp3c2_36990V3.1" "Pp3c2_37000V3.1" "Pp3c2_37210V3.1" "Pp3c2_37290V3.1" "Pp3c2_37299V3.1" "Pp3c2_37310V3.1"
+ [862] "Pp3c2_37670V3.1" "Pp3c2_37790V3.1" "Pp3c2_37920V3.1" "Pp3c2_37990V3.1" "Pp3c2_38020V3.1" "Pp3c2_38120V3.1" "Pp3c2_38140V3.1"
+ [869] "Pp3c2_38160V3.1" "Pp3c3_240V3.1"   "Pp3c3_330V3.1"   "Pp3c3_340V3.1"   "Pp3c3_430V3.1"   "Pp3c3_490V3.1"   "Pp3c3_620V3.1"  
+ [876] "Pp3c3_690V3.1"   "Pp3c3_810V3.1"   "Pp3c3_884V3.1"   "Pp3c3_950V3.1"   "Pp3c3_1020V3.1"  "Pp3c3_1090V3.1"  "Pp3c3_1160V3.1" 
+ [883] "Pp3c3_1164V3.1"  "Pp3c3_1500V3.1"  "Pp3c3_1630V3.1"  "Pp3c3_1740V3.1"  "Pp3c3_1750V3.1"  "Pp3c3_1820V3.1"  "Pp3c3_1850V3.1" 
+ [890] "Pp3c3_1910V3.1"  "Pp3c3_2130V3.1"  "Pp3c3_2140V3.1"  "Pp3c3_2240V3.1"  "Pp3c3_2270V3.1"  "Pp3c3_2380V3.1"  "Pp3c3_2620V3.1" 
+ [897] "Pp3c3_2690V3.1"  "Pp3c3_2730V3.1"  "Pp3c3_2740V3.1"  "Pp3c3_2820V3.1"  "Pp3c3_2980V3.1"  "Pp3c3_3070V3.1"  "Pp3c3_3110V3.1" 
+ [904] "Pp3c3_3140V3.1"  "Pp3c3_3200V3.1"  "Pp3c3_3440V3.1"  "Pp3c3_3480V3.1"  "Pp3c3_3490V3.1"  "Pp3c3_3510V3.1"  "Pp3c3_3530V3.1" 
+ [911] "Pp3c3_4090V3.1"  "Pp3c3_4100V3.1"  "Pp3c3_4140V3.1"  "Pp3c3_4150V3.1"  "Pp3c3_4160V3.1"  "Pp3c3_4270V3.1"  "Pp3c3_4440V3.1" 
+ [918] "Pp3c3_5410V3.1"  "Pp3c3_5450V3.1"  "Pp3c3_5480V3.1"  "Pp3c3_5540V3.1"  "Pp3c3_5550V3.1"  "Pp3c3_5620V3.1"  "Pp3c3_5650V3.1" 
+ [925] "Pp3c3_5690V3.1"  "Pp3c3_5810V3.1"  "Pp3c3_5880V3.1"  "Pp3c3_5910V3.1"  "Pp3c3_6250V3.1"  "Pp3c3_6370V3.1"  "Pp3c3_6420V3.1" 
+ [932] "Pp3c3_6480V3.1"  "Pp3c3_6880V3.1"  "Pp3c3_7020V3.1"  "Pp3c3_7040V3.1"  "Pp3c3_7160V3.1"  "Pp3c3_7180V3.1"  "Pp3c3_7370V3.1" 
+ [939] "Pp3c3_7440V3.1"  "Pp3c3_7450V3.1"  "Pp3c3_7820V3.1"  "Pp3c3_7930V3.1"  "Pp3c3_8250V3.1"  "Pp3c3_8340V3.1"  "Pp3c3_8370V3.1" 
+ [946] "Pp3c3_8490V3.1"  "Pp3c3_8540V3.1"  "Pp3c3_8570V3.1"  "Pp3c3_8580V3.1"  "Pp3c3_8660V3.1"  "Pp3c3_8860V3.1"  "Pp3c3_9180V3.1" 
+ [953] "Pp3c3_9200V3.1"  "Pp3c3_9350V3.1"  "Pp3c3_9470V3.1"  "Pp3c3_9640V3.1"  "Pp3c3_9650V3.1"  "Pp3c3_9740V3.1"  "Pp3c3_9760V3.1" 
+ [960] "Pp3c3_9850V3.1"  "Pp3c3_9950V3.1"  "Pp3c3_9970V3.1"  "Pp3c3_9990V3.1"  "Pp3c3_10000V3.1" "Pp3c3_10220V3.1" "Pp3c3_10340V3.1"
+ [967] "Pp3c3_10350V3.1" "Pp3c3_10539V3.1" "Pp3c3_10560V3.1" "Pp3c3_10730V3.1" "Pp3c3_10800V3.1" "Pp3c3_10840V3.1" "Pp3c3_10900V3.1"
+ [974] "Pp3c3_10920V3.1" "Pp3c3_11090V3.1" "Pp3c3_11140V3.1" "Pp3c3_11230V3.1" "Pp3c3_11300V3.1" "Pp3c3_11650V3.1" "Pp3c3_11690V3.1"
+ [981] "Pp3c3_11730V3.1" "Pp3c3_11770V3.1" "Pp3c3_11780V3.1" "Pp3c3_11830V3.1" "Pp3c3_11840V3.1" "Pp3c3_11932V3.1" "Pp3c3_12000V3.1"
+ [988] "Pp3c3_12090V3.1" "Pp3c3_12230V3.1" "Pp3c3_12310V3.1" "Pp3c3_12480V3.1" "Pp3c3_12490V3.1" "Pp3c3_12510V3.1" "Pp3c3_12760V3.1"
+ [995] "Pp3c3_12870V3.1" "Pp3c3_13130V3.1" "Pp3c3_13190V3.1" "Pp3c3_13210V3.1" "Pp3c3_13220V3.1" "Pp3c3_13280V3.1"
+ [ reached getOption("max.print") -- omitted 5610 entries ]