diff --git a/src/.docker_modules/r-bolero/1.0/Start_positions.R b/src/.docker_modules/r-bolero/1.0/Start_positions.R index f31afaae99dbcfd8686576f070d979db06277800..830c52e07598df6019bacf72c72128f99688a3d9 100644 --- a/src/.docker_modules/r-bolero/1.0/Start_positions.R +++ b/src/.docker_modules/r-bolero/1.0/Start_positions.R @@ -69,7 +69,7 @@ ggplot(df_parsed, aes(Start_position, nb_reads)) + theme(axis.text.x = element_text(angle = 45) ) -ggsave(paste0(filename,".jpg"), +ggsave(paste0(filename,".png"), plot = last_plot(), scale = 2, width = 1920, @@ -201,7 +201,7 @@ plot_camembert <- function(barcode, df, tot) { print(camembert) - ggsave(filename = paste0("./Reads_start_promoters_", barcode, "_camembert.jpg"), + ggsave(filename = paste0("./Reads_start_promoters_", barcode, "_camembert.png"), plot = last_plot(), scale = 1, width = 1920, diff --git a/src/nf_modules/junction_nanosplicer/main.nf b/src/nf_modules/junction_nanosplicer/main.nf index 9000bc89d64e21522d056647e9867bca66a8ec15..9f0a209ea7f5d158f1d0e277ad30294ead8b4d69 100644 --- a/src/nf_modules/junction_nanosplicer/main.nf +++ b/src/nf_modules/junction_nanosplicer/main.nf @@ -17,7 +17,7 @@ process junctions_nanosplicer{ output: path("Rplots.pdf") path("JWR_check_parsed.csv") - path("*.jpg") + path("*.png") path("identified_SPvariants.csv"), emit: identified_SPvariants script: diff --git a/src/nf_modules/rna_count/main.nf b/src/nf_modules/rna_count/main.nf index 4d9b6f40308b9267327d7e3d032757b59cb686f2..a2ae2ce641efe1f9829f2d6712720cb9dea743af 100644 --- a/src/nf_modules/rna_count/main.nf +++ b/src/nf_modules/rna_count/main.nf @@ -17,7 +17,7 @@ process rna_count{ output: path("*.csv") path("*.pdf") - path("*.jpg") + path("*.png") script: """ diff --git a/src/nf_modules/start_positions/main.nf b/src/nf_modules/start_positions/main.nf index 4b97e0c562d341772229efaed144f31e8ceb53f5..27b8ebf35ef66e41db2de2a114008883e26e04d6 100644 --- a/src/nf_modules/start_positions/main.nf +++ b/src/nf_modules/start_positions/main.nf @@ -14,7 +14,7 @@ process start_position_individuals{ output: path("Rplots.pdf") - path("*.jpg") + path("*.png") path("Count_reads_per_promoter.tsv") path("classification_of_reads_per_RNA.txt"), emit: classification_of_reads