# HG changeset patch # User proteore # Date 1520431724 18000 # Node ID 58a8ddd58dde45cd39cad08bccc19b46fdbb707e # Parent 1236ee08ccb8787f8e01630f60c751c4a6dbe81c planemo upload commit f338a1cf9a782938c228f9bd0ea19ef22eec35d8-dirty diff -r 1236ee08ccb8 -r 58a8ddd58dde README.rst --- a/README.rst Fri Feb 16 03:40:36 2018 -0500 +++ b/README.rst Wed Mar 07 09:08:44 2018 -0500 @@ -1,5 +1,5 @@ -Galaxy wrappers for goProfiles package -====================================== +Galaxy wrappers for goProfiles Tool +=================================== **Authors** @@ -13,7 +13,7 @@ Contact support@proteore.org for any questions or concerns about the Galaxy implementation of this tool. -====================================== +----------------------------------- This tool, based on the goProfiles R package, performs statistical analysis of functional profiles. It is based on GO ontology and considers either a gene set ('Entrez’ Identifiers) or a protein set (Uniprot ID) as input. diff -r 1236ee08ccb8 -r 58a8ddd58dde goprofiles.R --- a/goprofiles.R Fri Feb 16 03:40:36 2018 -0500 +++ b/goprofiles.R Wed Mar 07 09:08:44 2018 -0500 @@ -1,6 +1,6 @@ # Load necessary libraries -library("org.Hs.eg.db", quietly=TRUE) -library("goProfiles", quietly=TRUE) +library(org.Hs.eg.db) +library(goProfiles) # Read file and return file content as data.frame? readfile = function(filename, header) { diff -r 1236ee08ccb8 -r 58a8ddd58dde goprofiles.xml --- a/goprofiles.xml Fri Feb 16 03:40:36 2018 -0500 +++ b/goprofiles.xml Wed Mar 07 09:08:44 2018 -0500 @@ -1,11 +1,11 @@ - Identify enriched biological themes, GO terms from your protein list. + Statistical analysis of functional profiles R - bioconductor-org.hs.eg.db - bioconductor-annotationdbi - bioconductor-biobase + bioconductor-org.hs.eg.db + bioconductor-annotationdbi + bioconductor-biobase goprofiles