Mercurial > repos > nilesh > rseqc

annotate read_NVC.xml @ 58:1a052c827e88 draft

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"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 57f71aa633a43ab02bbf05acd0c6d7f406e01f1e"
author iuc
date Thu, 28 Nov 2019 15:56:37 -0500
parents 09846d5169fa
children dbedfc5f5a3c
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09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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1 <tool id="rseqc_read_NVC" name="Read NVC" version="@WRAPPER_VERSION@">
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2 <description>to check the nucleotide composition bias</description>
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4 <macros>
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5 <import>rseqc_macros.xml</import>
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6 </macros>
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7
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09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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8 <expand macro="requirements" />
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10 <expand macro="stdio" />
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12 <version_command><![CDATA[read_NVC.py --version]]></version_command>
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09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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14 <command><![CDATA[
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15 read_NVC.py
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09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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16 --input-file '${input}'
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17 --out-prefix output
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18 ${nx}
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19 --mapq ${mapq}
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20 ]]>
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21 </command>
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22
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23 <inputs>
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24 <expand macro="bam_sam_param" />
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25 <param name="nx" type="boolean" value="false" truevalue="--nx" falsevalue="" label="Include N,X in NVC plot" help="(--nx)"/>
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26 <expand macro="mapq_param" />
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27 <expand macro="rscript_output_param" />
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28 </inputs>
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29
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30 <outputs>
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31 <expand macro="pdf_output_data" filename="output.NVC_plot.pdf" />
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32 <expand macro="xls_output_data" filename="output.NVC.xls" />
09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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33 <expand macro="rscript_output_data" filename="output.NVC_plot.r" />
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34 </outputs>
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36 <tests>
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37 <test>
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38 <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam" />
09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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39 <param name="rscript_output" value="true" />
09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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40 <output name="outputxls" file="output.NVC.xls" />
09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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41 <output name="outputr" file="output.NVC_plot.r" />
09846d5169fa planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
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42 <output name="outputpdf" file="output.NVC_plot.pdf" compare="sim_size" />
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43 </test>
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44 </tests>
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46 <help><![CDATA[
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47 read_NVC.py
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48 +++++++++++
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49
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50 This module is used to check the nucleotide composition bias. Due to random priming, certain
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51 patterns are over represented at the beginning (5'end) of reads. This bias could be easily
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52 examined by NVC (Nucleotide versus cycle) plot. NVC plot is generated by overlaying all
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53 reads together, then calculating nucleotide composition for each position of read
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54 (or each sequencing cycle). In ideal condition (genome is random and RNA-seq reads is
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55 randomly sampled from genome), we expect A%=C%=G%=T%=25% at each position of reads.
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56
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57 NOTE: this program expect a fixed read length
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58
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59 Inputs
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60 ++++++++++++++
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61
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62 Input BAM/SAM file
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63 Alignment file in BAM/SAM format.
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64
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65 Include N,X in NVC plot
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66 Plots N and X alongside A, T, C, and G in plot.
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67
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68 Output
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69 ++++++++++++++
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70
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71 This module is used to check the nucleotide composition bias. Due to random priming, certain patterns are over represented at the beginning (5'end) of reads. This bias could be easily examined by NVC (Nucleotide versus cycle) plot. NVC plot is generated by overlaying all reads together, then calculating nucleotide composition for each position of read (or each sequencing cycle). In ideal condition (genome is random and RNA-seq reads is randomly sampled from genome), we expect A%=C%=G%=T%=25% at each position of reads.
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72
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73
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74 1. output.NVC.xls: plain text file, each row is position of read (or sequencing cycle), each column is nucleotide (A,C,G,T,N,X)
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75 2. output.NVC_plot.r: R script to generate NVC plot.
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76 3. output.NVC_plot.pdf: NVC plot.
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79 .. image:: $PATH_TO_IMAGES/NVC_plot.png
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80 :height: 600 px
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81 :width: 600 px
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82 :scale: 80 %
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84 @ABOUT@
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86 ]]>
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87 </help>
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88
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89 <expand macro="citations" />
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90
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91 </tool>