Author

Srimeenakshi Sankaranarayanan

Published

August 13, 2024

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# Libraries
library(BSgenome.Umaydis.ENSMBL.UM1) # forged ustilago genome
library(ggplot2)
library(forcats)
library(tidyr)
library(dplyr)
library(tidyverse)
library(magrittr)
library(ggpp)
library(gginnards)
library(ggrepel)
library(ggpubr)
library(ggforce)
library(ggrastr)
library(viridis)
library(reshape2)
library(gprofiler2)
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load("C:/Users/Sri/Documents/Khd4/DGE_analysis_SM_PhD/Kathis_lab/hyperTRIBE/hyperTRIBE.rds")

GO-term enrichment analysis with high confidence Khd4 targets were analysed using gprofiler2.

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highConf.gene=data.frame(high.conf.khd4)
highConf.gene=unique(highConf.gene$gene.id)



HCgO= gost(query = highConf.gene, 
                organism = "umaydis", ordered_query = FALSE, 
                multi_query = FALSE, significant = TRUE, exclude_iea = FALSE, 
                measure_underrepresentation = FALSE, evcodes = TRUE, 
                user_threshold = 0.05, correction_method = "g_SCS", 
                domain_scope = "annotated", custom_bg = NULL, 
                numeric_ns = "", sources = NULL, as_short_link = FALSE)

#visualization
vis.HCgO<- gostplot(HCgO, capped = TRUE, interactive = TRUE)
vis.HCgO
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#get the link to download .gem files
gost(query = highConf.gene, 
                organism = "umaydis", ordered_query = FALSE, 
                multi_query = FALSE, significant = TRUE, exclude_iea = FALSE, 
                measure_underrepresentation = FALSE, evcodes = TRUE, 
                user_threshold = 0.05, correction_method = "g_SCS", 
                domain_scope = "annotated", custom_bg = NULL, 
                numeric_ns = "", sources = NULL, as_short_link = TRUE)
[1] "https://biit.cs.ut.ee/gplink/l/rUSWagdKSW"
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sessionInfo()
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)

Matrix products: default


locale:
[1] LC_COLLATE=English_Germany.utf8  LC_CTYPE=English_Germany.utf8   
[3] LC_MONETARY=English_Germany.utf8 LC_NUMERIC=C                    
[5] LC_TIME=English_Germany.utf8    

time zone: Europe/Berlin
tzcode source: internal

attached base packages:
[1] stats4    stats     graphics  grDevices utils     datasets  methods  
[8] base     

other attached packages:
 [1] gprofiler2_0.2.3                  reshape2_1.4.4                   
 [3] viridis_0.6.5                     viridisLite_0.4.2                
 [5] ggrastr_1.0.2                     ggforce_0.4.2                    
 [7] ggpubr_0.6.0                      ggrepel_0.9.5                    
 [9] gginnards_0.2.0                   ggpp_0.5.7                       
[11] magrittr_2.0.3                    lubridate_1.9.3                  
[13] stringr_1.5.1                     purrr_1.0.2                      
[15] readr_2.1.5                       tibble_3.2.1                     
[17] tidyverse_2.0.0                   dplyr_1.1.4                      
[19] tidyr_1.3.1                       forcats_1.0.0                    
[21] ggplot2_3.5.1                     BSgenome.Umaydis.ENSMBL.UM1_2.0.0
[23] BSgenome_1.70.2                   rtracklayer_1.62.0               
[25] BiocIO_1.12.0                     Biostrings_2.70.1                
[27] XVector_0.42.0                    GenomicRanges_1.54.1             
[29] GenomeInfoDb_1.38.8               IRanges_2.36.0                   
[31] S4Vectors_0.40.2                  BiocGenerics_0.48.1              

loaded via a namespace (and not attached):
  [1] rstudioapi_0.16.0           jsonlite_1.8.8             
  [3] ggbeeswarm_0.7.2            GenomicFeatures_1.54.4     
  [5] farver_2.1.2                rmarkdown_2.27             
  [7] zlibbioc_1.48.0             vctrs_0.6.5                
  [9] memoise_2.0.1               Rsamtools_2.18.0           
 [11] RCurl_1.98-1.13             rstatix_0.7.2              
 [13] progress_1.2.3              htmltools_0.5.8.1          
 [15] S4Arrays_1.2.0              polynom_1.4-1              
 [17] curl_5.2.1                  broom_1.0.6                
 [19] SparseArray_1.2.3           htmlwidgets_1.6.4          
 [21] plyr_1.8.9                  cachem_1.0.8               
 [23] plotly_4.10.4               GenomicAlignments_1.38.0   
 [25] mime_0.12                   lifecycle_1.0.4            
 [27] pkgconfig_2.0.3             Matrix_1.6-4               
 [29] R6_2.5.1                    fastmap_1.1.1              
 [31] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0      
 [33] shiny_1.8.1.1               digest_0.6.33              
 [35] colorspace_2.1-0            AnnotationDbi_1.64.1       
 [37] DESeq2_1.42.1               crosstalk_1.2.1            
 [39] RSQLite_2.3.7               filelock_1.0.3             
 [41] fansi_1.0.6                 timechange_0.3.0           
 [43] httr_1.4.7                  polyclip_1.10-6            
 [45] abind_1.4-5                 compiler_4.3.1             
 [47] bit64_4.0.5                 withr_3.0.0                
 [49] backports_1.5.0             BiocParallel_1.36.0        
 [51] carData_3.0-5               DBI_1.2.3                  
 [53] biomaRt_2.58.2              ggsignif_0.6.4             
 [55] MASS_7.3-60                 rappdirs_0.3.3             
 [57] DelayedArray_0.28.0         rjson_0.2.21               
 [59] tools_4.3.1                 vipor_0.4.7                
 [61] beeswarm_0.4.0              httpuv_1.6.15              
 [63] glue_1.6.2                  restfulr_0.0.15            
 [65] promises_1.3.0              grid_4.3.1                 
 [67] ggvenn_0.1.10               generics_0.1.3             
 [69] gtable_0.3.5                tzdb_0.4.0                 
 [71] data.table_1.15.4           hms_1.1.3                  
 [73] xml2_1.3.6                  car_3.1-2                  
 [75] utf8_1.2.4                  pillar_1.9.0               
 [77] later_1.3.2                 tweenr_2.0.3               
 [79] BiocFileCache_2.10.2        lattice_0.22-5             
 [81] bit_4.0.5                   tidyselect_1.2.1           
 [83] locfit_1.5-9.10             knitr_1.47                 
 [85] gridExtra_2.3               SummarizedExperiment_1.32.0
 [87] xfun_0.45                   Biobase_2.62.0             
 [89] matrixStats_1.2.0           stringi_1.8.3              
 [91] lazyeval_0.2.2              yaml_2.3.7                 
 [93] evaluate_0.24.0             codetools_0.2-20           
 [95] cli_3.6.1                   xtable_1.8-4               
 [97] munsell_0.5.1               Rcpp_1.0.12                
 [99] dbplyr_2.5.0                png_0.1-8                  
[101] XML_3.99-0.16.1             parallel_4.3.1             
[103] blob_1.2.4                  prettyunits_1.2.0          
[105] bitops_1.0-7                scales_1.3.0               
[107] crayon_1.5.3                rlang_1.1.1                
[109] KEGGREST_1.42.0             cowplot_1.1.3