comparison featurecounts.xml @ 5:31279ea9fbfa draft

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author yhoogstrate
date Wed, 21 May 2014 08:27:05 -0400
parents 84fd5f7ec18f
children fae19d64e9de
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4:84fd5f7ec18f 5:31279ea9fbfa
192 <data format="tabular" name="output" label="${tool.name} on ${', '.join([ str(a.hid)+': '+a.name for a in $alignments ])}" /> 192 <data format="tabular" name="output" label="${tool.name} on ${', '.join([ str(a.hid)+': '+a.name for a in $alignments ])}" />
193 <data format="text" name="output_summary" label="${tool.name} on ${', '.join([ str(a.hid)+': '+a.name for a in $alignments ])} summary" /> 193 <data format="text" name="output_summary" label="${tool.name} on ${', '.join([ str(a.hid)+': '+a.name for a in $alignments ])} summary" />
194 </outputs> 194 </outputs>
195 195
196 <help> 196 <help>
197 featureCounts:: 197 featureCounts
198 **Overview** 198 #############
199 199
200 Overview
201 --------
200 FeatureCounts is a light-weight read counting program written entirely in the C programming language. It can be used to count both gDNA-seq and RNA-seq reads for genomic features in in SAM/BAM files. 202 FeatureCounts is a light-weight read counting program written entirely in the C programming language. It can be used to count both gDNA-seq and RNA-seq reads for genomic features in in SAM/BAM files.
201 It has a variety of advanced parameters but its major strength is its outstanding performance: analysis of a 10GB BAM file takes about 7 minutes on a single average CPU (Homo Sapiens genome)! 203 It has a variety of advanced parameters but its major strength is its outstanding performance: analysis of a 10GB SE BAM file takes about 7 minutes on a single average CPU (Homo Sapiens genome) [1].
202 Liao Y, Smyth GK and Shi W. featureCounts: an efficient general-purpose program for assigning sequence reads to genomic features. Bioinformatics, Advance Access, accepted on Nov 7, 2013 204
203 205 Input formats
204 featureCounts is part of a bigger analysis suite called subread: 206 -------------
205 http://subread.sourceforge.net/
206 Liao Y, Smyth GK and Shi W. The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote. Nucleic Acids Research, 41(10):e108, 2013
207
208 **Input formats**
209
210 Alignments should be provided in either: 207 Alignments should be provided in either:
211 * SAM format - hhttp://samtools.sourceforge.net/samtools.shtml#5 208
212 * BAM format 209 - SAM format, http://samtools.sourceforge.net/samtools.shtml#5
210 - BAM format
213 211
214 Gene regions should be provided in the GFF/GTF format: 212 Gene regions should be provided in the GFF/GTF format:
215 * http://genome.ucsc.edu/FAQ/FAQformat.html#format3 213
216 * http://www.ensembl.org/info/website/upload/gff.html 214 - http://genome.ucsc.edu/FAQ/FAQformat.html#format3
217 215 - http://www.ensembl.org/info/website/upload/gff.html
218 **Installation** 216
219 217 Installation
220 1) Make sure you have proper GFF/GTF files (corresponding to your reference genome used for the aligment) uploaded to your history. 218 ------------
221 219
222 2) Make sure that your gene_sets.loc is configured properly as data table. This is generally done by copying the right information into: tool_data_table_conf.xml. 220 1. Make sure you have proper GFF/GTF files (corresponding to your reference genome used for the aligment) uploaded to your history.
223 https://wiki.galaxyproject.org/Admin/Tools/Data%20Tables 221
224 222 2. Make sure that your gene_sets.loc is configured properly as data table. This is generally done by copying the right information into: tool_data_table_conf.xml. More info at: https://wiki.galaxyproject.org/Admin/Tools/Data%20Tables
225 **Examples** 223
226 224 References
227 **References** 225 ----------
228 226
229 featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. 227 **featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.**
230 228
231 Liao Y1, Smyth GK, Shi W.:: 229 *Liao Y1, Smyth GK, Shi W.* Bioinformatics. 2014 Apr 1;30(7):923-30.
232 230
233 * http://www.ncbi.nlm.nih.gov/pubmed/24227677 231 - http://www.ncbi.nlm.nih.gov/pubmed/24227677
234 * http://dx.doi.org/10.1093/bioinformatics/btt656 232 - http://dx.doi.org/10.1093/bioinformatics/btt656
235 233
236 234
237 **License** 235 License
238 236 -------
239 * featureCounts / subread: GNU General Public License version 3.0 (GPLv3) 237
240 238 featureCounts / subread package:
241 **Contact** 239
240 - GNU General Public License version 3.0 (GPLv3)
241
242 Contact
243 -------
242 244
243 The tool wrapper has been written by Youri Hoogstrate from the Erasmus Medical Center (Rotterdam, Netherlands) on behalf of the Translational Research IT (TraIT) project: 245 The tool wrapper has been written by Youri Hoogstrate from the Erasmus Medical Center (Rotterdam, Netherlands) on behalf of the Translational Research IT (TraIT) project:
244 http://www.ctmm.nl/en/programmas/infrastructuren/traitprojecttranslationeleresearch 246 http://www.ctmm.nl/en/programmas/infrastructuren/traitprojecttranslationeleresearch
245 247
246 I want to thank the Marius van den Beek for his contribution as well. 248 I want to thank the Marius van den Beek for his contribution to this wrapper.
247 249
248 More tools by the Translational Research IT (TraIT) project can be found in the following repository: 250 More tools by the Translational Research IT (TraIT) project can be found in the following repository:
249 http://toolshed.dtls.nl/ 251 http://testtoolshed.g2.bx.psu.edu/
250 252
251 </help> 253 </help>
252 </tool> 254 </tool>