# HG changeset patch
# User iuc
# Date 1661364580 0
# Node ID 2af7c5086a96c23c1811ffb60a065be83fc69ac1
# Parent c92d0f9338c551c4944450fbced93d7ac5ff213a
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/raceid3 commit 82a18e57158136e265a26f27feb40f8dc13437bf
diff -r c92d0f9338c5 -r 2af7c5086a96 macros.xml
--- a/macros.xml Mon Dec 20 10:13:20 2021 +0000
+++ b/macros.xml Wed Aug 24 18:09:40 2022 +0000
@@ -26,7 +26,7 @@
}
0.2.3
- 2
+ 3
21.01
diff -r c92d0f9338c5 -r 2af7c5086a96 macros_cheetah.xml
--- a/macros_cheetah.xml Mon Dec 20 10:13:20 2021 +0000
+++ b/macros_cheetah.xml Wed Aug 24 18:09:40 2022 +0000
@@ -104,7 +104,6 @@
clust.clustexp\$cln = as.integer( '$clust.use.cln' )
clust.clustexp\$clustnr = as.integer( '$clust.use.clustnr' )
clust.clustexp\$bootnr = as.integer( '$clust.use.bootnr' )
-##clust.clustexp\$rseed = as.integer( '$clust.use.rseed' )
#end if
#end if
@@ -313,12 +312,12 @@
",
genelist.foldchange, ")"), test)))
})
- write.table(df, file = out.genelist, sep = "\t", quote = F)
+ write.table(df, file = out.genelist, sep = "\t", quote = FALSE)
}
@@ -138,7 +138,7 @@
is.outlier = names(dat) %in% sc@out$out)
write.table(tab, file = out.assignments, sep = "\t",
- quote = F, row.names = F)
+ quote = FALSE, row.names = FALSE)
}
@@ -158,7 +158,7 @@
getfdata(sc))) / ncol(sc@expdata)),
"% of cells remain"))
write.table(as.matrix(sc@ndata), file = out.table, col.names = NA,
- row.names = T, sep = "\t", quote = F)
+ row.names = TRUE, sep = "\t", quote = FALSE)
}
if (use.cluster) {
diff -r c92d0f9338c5 -r 2af7c5086a96 scripts/clusterinspect.R
--- a/scripts/clusterinspect.R Mon Dec 20 10:13:20 2021 +0000
+++ b/scripts/clusterinspect.R Wed Aug 24 18:09:40 2022 +0000
@@ -1,7 +1,7 @@
#!/usr/bin/env R
VERSION <- "0.5" # nolint
-args <- commandArgs(trailingOnly = T)
+args <- commandArgs(trailingOnly = TRUE)
if (length(args) != 1) {
message(paste("VERSION:", VERSION))
@@ -74,12 +74,10 @@
use_names <- NULL
if (!is.null(lob$manual)) {
use_names <- lob$manual
- }
- else if (!is.null(lob$regex)) {
+ }else if (!is.null(lob$regex)) {
nm <- colnames(sc@ndata)
use_names <- nm[grep(lob$regex, nm)]
- }
- else if (!is.null(lob$cln)) {
+ }else if (!is.null(lob$cln)) {
use_names <- names(sc@cpart)[sc@cpart %in% lob$cln]
}
if (is.null(use_names)) {
@@ -112,19 +110,23 @@
title <- paste(":", plotexp$n)
plotexp$n <- ""
- plotexp$logsc <- FALSE; plotexp$fr <- FALSE
+ plotexp$logsc <- FALSE
+ plotexp$fr <- FALSE
print(do.call(plotexpmap, c(sc, plotexp)))
print(do.call(mtext, c(paste("tSNE", title), test)))
- plotexp$logsc <- TRUE; plotexp$fr <- FALSE
+ plotexp$logsc <- TRUE
+ plotexp$fr <- FALSE
print(do.call(plotexpmap, c(sc, plotexp)))
print(do.call(mtext, c(paste("tSNE (Log)", title), test)))
- plotexp$logsc <- FALSE; plotexp$fr <- TRUE
+ plotexp$logsc <- FALSE
+ plotexp$fr <- TRUE
print(do.call(plotexpmap, c(sc, plotexp)))
print(do.call(mtext, c(paste("FR", title), test)))
- plotexp$logsc <- TRUE; plotexp$fr <- TRUE
+ plotexp$logsc <- TRUE
+ plotexp$fr <- TRUE
print(do.call(plotexpmap, c(sc, plotexp)))
print(do.call(mtext, c(paste("FR (Log)", title), test)))
diff -r c92d0f9338c5 -r 2af7c5086a96 scripts/trajectoryinspect.R
--- a/scripts/trajectoryinspect.R Mon Dec 20 10:13:20 2021 +0000
+++ b/scripts/trajectoryinspect.R Wed Aug 24 18:09:40 2022 +0000
@@ -1,7 +1,7 @@
#!/usr/bin/env R
VERSION <- "0.2" # nolint
-args <- commandArgs(trailingOnly = T)
+args <- commandArgs(trailingOnly = TRUE)
if (length(args) != 1) {
message(paste("VERSION:", VERSION))
@@ -19,7 +19,7 @@
second$cex <- 0.5
second$line <- 2.5
-do.trajectoryinspection.stemID <- function(ltr) { # nolint
+do.trajectoryinspection.stemid <- function(ltr) { # nolint
makeBranchLink <- function(i, j, k) { # nolint
ingoing <- paste(sort(c(i, j)), collapse = ".")
outgoing <- paste(sort(c(j, k)), collapse = ".")
@@ -51,57 +51,57 @@
print(do.call(mtext, c("Final Clusters (F-R)", test)))
}
-do.trajectoryinspection.fateID <- function(ltr) { # nolint
- n <- do.call(cellsfromtree, c(ltr, trjfid.cellsfrom))
+do.trajectoryinspection.fateid <- function(ltr) { # nolint
+ n <- do.call(cellsfromtree, c(ltr, trjfid_cellsfrom))
x <- getfdata(ltr@sc)
- trjfid.filterset$x <- x
- trjfid.filterset$n <- n$f
- fs <- do.call(filterset, c(trjfid.filterset))
- trjfid.getsom$x <- fs
- s1d <- do.call(getsom, c(trjfid.getsom))
- trjfid.procsom$s1d <- s1d
- ps <- do.call(procsom, c(trjfid.procsom))
+ trjfid_filterset$x <- x
+ trjfid_filterset$n <- n$f
+ fs <- do.call(filterset, c(trjfid_filterset))
+ trjfid_getsom$x <- fs
+ s1d <- do.call(getsom, c(trjfid_getsom))
+ trjfid_procsom$s1d <- s1d
+ ps <- do.call(procsom, c(trjfid_procsom))
y <- ltr@sc@cpart[n$f]
fcol <- ltr@sc@fcol
- trjfid.plotheat$xpart <- y
- trjfid.plotheat$xcol <- fcol
+ trjfid_plotheat$xpart <- y
+ trjfid_plotheat$xcol <- fcol
test$side <- 3
test$line <- 3
##Plot average z-score for all modules derived from the SOM:
- trjfid.plotheat$x <- ps$nodes.z
- trjfid.plotheat$ypart <- unique(ps$nodes)
- print(do.call(plotheatmap, c(trjfid.plotheat)))
+ trjfid_plotheat$x <- ps$nodes.z
+ trjfid_plotheat$ypart <- unique(ps$nodes)
+ print(do.call(plotheatmap, c(trjfid_plotheat)))
print(do.call(mtext, c("Average z-score for all modules derived from SOM",
test)))
##Plot z-score profile of each gene ordered by SOM modules:
- trjfid.plotheat$x <- ps$all.z
- trjfid.plotheat$ypart <- ps$nodes
- print(do.call(plotheatmap, c(trjfid.plotheat)))
+ trjfid_plotheat$x <- ps$all.z
+ trjfid_plotheat$ypart <- ps$nodes
+ print(do.call(plotheatmap, c(trjfid_plotheat)))
print(do.call(mtext, c(paste0("z-score profile of each gene",
"ordered by SOM modules"), test)))
##Plot normalized expression profile of each gene ordered by SOM modules:
- trjfid.plotheat$x <- ps$all.e
- trjfid.plotheat$ypart <- ps$nodes
- print(do.call(plotheatmap, c(trjfid.plotheat)))
+ trjfid_plotheat$x <- ps$all.e
+ trjfid_plotheat$ypart <- ps$nodes
+ print(do.call(plotheatmap, c(trjfid_plotheat)))
print(do.call(mtext, c(paste0("Normalized expression profile of each",
"gene ordered by SOM modules"), test)))
##Plot binarized expression profile of each gene
##(z-score < -1, -1 < z-score < 1, z-score > 1)
- trjfid.plotheat$x <- ps$all.b
- trjfid.plotheat$ypart <- ps$nodes
- print(do.call(plotheatmap, c(trjfid.plotheat)))
+ trjfid_plotheat$x <- ps$all.b
+ trjfid_plotheat$ypart <- ps$nodes
+ print(do.call(plotheatmap, c(trjfid_plotheat)))
print(do.call(mtext, c("Binarized expression profile of each gene", test)))
## This should be written out, and passed back into the tool
## to perform sominspect
return(list(fs = fs, ps = ps, y = y, fcol = fcol, nf = n$f))
}
-do.trajectoryinspection.fateID.sominspect <- function(domo) { # nolint
+do.trajectoryinspection.fateid.sominspect <- function(domo) { # nolint
g <- trjfidsomi.use.genes
if (class(g) == "numeric") {
g <- names(ps$nodes)[ps$nodes %in% g]
@@ -135,11 +135,11 @@
ltr <- in.rdat
pdf(out.pdf)
-if (perform.stemID) do.trajectoryinspection.stemID(ltr)
-if (perform.fateID) {
- domo <- do.trajectoryinspection.fateID(ltr)
- if (perform.fateID.sominspect) {
- do.trajectoryinspection.fateID.sominspect(domo)
+if (perform.stemid) do.trajectoryinspection.stemid(ltr)
+if (perform.fateid) {
+ domo <- do.trajectoryinspection.fateid(ltr)
+ if (perform.fateid.sominspect) {
+ do.trajectoryinspection.fateid.sominspect(domo)
}
}
dev.off()