Mercurial > repos > nilesh > rseqc

annotate read_NVC.xml @ 50:f242ee103277 draft

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planemo upload for repository https://github.com/lparsons/galaxy_tools/tree/master/tools/rseqc commit 91ad241aa3f34b70649d13a5f18611da7577a5ee
author lparsons
date Tue, 03 May 2016 16:36:57 -0400
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children 09846d5169fa
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1 <tool id="rseqc_read_NVC" name="Read NVC" version="2.4galaxy1">
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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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8 <requirements>
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9 <expand macro="requirement_package_r" />
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10 <expand macro="requirement_package_numpy" />
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11 <expand macro="requirement_package_rseqc" />
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12 </requirements>
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14 <expand macro="stdio" />
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16 <version_command><![CDATA[read_NVC.py --version]]></version_command>
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17
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18 <command>
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19 read_NVC.py
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20 --input-file $input
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21 --out-prefix output
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22 $nx
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23 --mapq $mapq
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24 </command>
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25
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26 <inputs>
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27 <param name="input" type="data" format="bam,sam" label="input bam/sam file" help="(--input-file)"/>
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28 <param name="nx" type="boolean" value="false" truevalue="--nx" falsevalue="" label="Include N,X in NVC plot" help="(--nx)"/>
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29 <param name="mapq" type="integer" label="Minimum mapping quality (default=30)" help="Minimum phred scale mapping quality to consider a read 'uniquely mapped' (--mapq)" value="30" />
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30 </inputs>
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31
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32 <outputs>
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33 <data format="xls" name="outputxls" from_work_dir="output.NVC.xls" label="${tool.name} on ${on_string} (XLS)" />
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34 <data format="txt" name="outputr" from_work_dir="output.NVC_plot.r" label="${tool.name} on ${on_string} (R Script)" />
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35 <data format="pdf" name="outputpdf" from_work_dir="output.NVC_plot.pdf" label="${tool.name} on ${on_string} (PDF)" />
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36 </outputs>
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38 <tests>
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39 <test>
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40 <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam"/>
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41 <output name="outputxls" file="output.NVC.xls"/>
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42 <output name="outputr" file="output.NVC_plot.r"/>
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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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78
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79 .. image:: http://rseqc.sourceforge.net/_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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83
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84 -----
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85
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86 About RSeQC
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87 +++++++++++
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88
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89 The RSeQC_ package provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data. "Basic modules" quickly inspect sequence quality, nucleotide composition bias, PCR bias and GC bias, while "RNA-seq specific modules" investigate sequencing saturation status of both splicing junction detection and expression estimation, mapped reads clipping profile, mapped reads distribution, coverage uniformity over gene body, reproducibility, strand specificity and splice junction annotation.
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90
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91 The RSeQC package is licensed under the GNU GPL v3 license.
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92
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93 .. image:: http://rseqc.sourceforge.net/_static/logo.png
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94
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95 .. _RSeQC: http://rseqc.sourceforge.net/
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96 ]]>
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97 </help>
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98
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99 <expand macro="citations" />
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100
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101 </tool>