# HG changeset patch # User proteore # Date 1569577723 14400 # Node ID d4dd1c242a8748199d354b038058938431c5358c # Parent 3ddc1f78773d431ab96a2a07cde882b9f5f9a6e4 planemo upload commit 9664cb97c1ab9d21af2b302eb976015178089a72 diff -r 3ddc1f78773d -r d4dd1c242a87 goprofiles.xml --- a/goprofiles.xml Fri Jun 28 05:11:15 2019 -0400 +++ b/goprofiles.xml Fri Sep 27 05:48:43 2019 -0400 @@ -1,14 +1,14 @@ - + (Human, Mouse) [goProfiles] - - R - bioconductor-org.hs.eg.db - bioconductor-org.mm.eg.db + + R + -org.hs.eg.db + bioconductor-org.mm.eg.db - bioconductor-annotationdbi - bioconductor-biobase - goprofiles - + bioconductor-annotationdbi + bioconductor-biobase + bioconductor-goprofiles + @@ -24,7 +24,7 @@ --ncol="$input.ncol" --header="$input.header" #end if - + --id_type="$input.id_type" --onto_opt="$onto_opt" --plot_opt="$plot_opt" @@ -68,7 +68,7 @@ - + @@ -97,7 +97,7 @@ - + @@ -125,8 +125,8 @@ - - + + @@ -147,17 +147,17 @@ **Description** This tool relies on the goProfiles R package; it performs statistical analysis of functional profiles based on Gene Ontology (GO). Functional profile at a given GO level is obtained by counting the -number of identifiers having a hit in each category of this level. +number of identifiers having a hit in each category of this level. ----- -**Input** +**Input** Two modes are allowed: either by copy/pasting your IDs (separated by a space) or by supplying a tabular file (.csv, .tsv, .txt, .tab) including your IDs (identifiers). -Only entrez gene ID (e.g. 4151) or Uniprot accession number (e.g. P31946) are allowed. If your list is not in this form, please use the ID_Converter tool of ProteoRE. +Only entrez gene ID (e.g. 4151) or Uniprot accession number (e.g. P31946) are allowed. If your list is not in this form, please use the ID_Converter tool of ProteoRE. .. class:: warningmark - + In copy/paste mode, the number of IDs considered in input is limited to 5000. ----- @@ -166,7 +166,7 @@ "Species": enter the sepcies you are working on; Homo sapiens and Mus musculus supported (Rattus norvegicus coming soon) -"Select GO terms category": you can choose one or more GO categories which are Biological Process (BP), Cellular Component (CC) and Molecular Function (MF) +"Select GO terms category": you can choose one or more GO categories which are Biological Process (BP), Cellular Component (CC) and Molecular Function (MF) "Ontology level (the higher this number, the deeper the GO level)": correspond to the level of GO hierarchy (from 1 to 6). In general the higher the level, the more semantically specific the term is. @@ -174,7 +174,7 @@ **Ouput** -Diagram output: graphical output in the form of bar-plot or dot-plot (png (default format), jpeg or pdf format), one figure for each GO category. +Diagram output: graphical output in the form of bar-plot or dot-plot (png (default format), jpeg or pdf format), one figure for each GO category. Text output: with the following information GO category description (e.g.BP.Description), GO term identifier (e.g. BP.GOID) and GO term frequency (e.g. BP.Frequency) @@ -182,7 +182,7 @@ .. class:: infomark -Packages used: +Packages used: - bioconductor-org.hs.eg.db v3.5.0 - bioconductor-org.mm.eg.db v3.5.0 - bioconductor-annotationdbi v1.40.0 @@ -193,7 +193,7 @@ .. class:: infomark -**Authors** +**Authors** Salicrú M, Ocaña J, Sánchez-Pla A. Comparison of lists of genes based on functional profiles. BMC Bioinformatics. 2011. 12:401. doi:10.1186/1471-2105-12-401. PubMed PMID: 21999355