Mercurial > repos > yhoogstrate > featurecounts
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 |
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| 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> |
