annotate tin.xml @ 51:09846d5169fa draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/rseqc commit 37fb1988971807c6a072e1afd98eeea02329ee83
author iuc
date Tue, 14 Mar 2017 10:23:21 -0400
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1 <tool id="rseqc_tin" name="Transcript Integrity Number" version="@WRAPPER_VERSION@">
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2 <description>
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3 evaluates RNA integrity at a transcript level
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4 </description>
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6 <macros>
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7 <import>rseqc_macros.xml</import>
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8 </macros>
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9
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10 <expand macro="requirements" />
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11
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12 <expand macro="stdio" />
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13
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14 <version_command><![CDATA[tin.py --version]]></version_command>
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15
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16 <!-- Generate output files here because tin.py removes all instances of "bam"
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17 in the filename -->
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18 <command><![CDATA[
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19 #import re
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20 ln -sf '${input}' 'input.bam' &&
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21 ln -sf '${input.metadata.bam_index}' 'input.bam.bai' &&
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22 tin.py -i 'input.bam' --refgene='${refgene}' --minCov=${minCov}
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23 --sample-size=${samplesize} ${subtractbackground}
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24 ]]>
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25 </command>
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26
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27 <inputs>
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28 <expand macro="bam_param" />
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29 <expand macro="refgene_param" />
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30 <param name="minCov" type="integer" value="10" label="Minimum coverage (default=10)"
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31 help="Minimum number of reads mapped to a transcript (--minCov)." />
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32 <param name="samplesize" type="integer" value="100" label="Sample size (default=100)"
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33 help="Number of equal-spaced nucleotide positions picked from mRNA.
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34 Note: if this number is larger than the length of mRNA (L), it will
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35 be halved until is's smaller than L. (--sample-size)." />
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36 <param name="subtractbackground" type="boolean" value="false" falsevalue=""
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37 truevalue="--subtract-background" label="Subtract background noise
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38 (default=No)" help="Subtract background noise (estimated from
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39 intronic reads). Only use this option if there are substantial
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40 intronic reads (--subtract-background)." />
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41 </inputs>
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42
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43 <outputs>
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44 <data name="outputsummary" format="tabular" from_work_dir="input.summary.txt" label="TIN on ${on_string} (summary)" />
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45 <data name="outputxls" format="xls" from_work_dir="input.tin.xls" label="TIN on ${on_string} (tin)" />
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46 </outputs>
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47
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48 <!-- PDF Files contain R version, must avoid checking for diff -->
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49 <tests>
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50 <test>
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51 <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam"/>
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52 <param name="refgene" value="hg19_RefSeq_chr1_1-100000.bed"/>
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53 <output name="outputsummary" file="output.tin.summary.txt"/>
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54 <output name="outputxls" file="output.tin.xls"/>
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55 </test>
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56 </tests>
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57
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58 <help><![CDATA[
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59 ## tin.py
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60
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61 This program is designed to evaluate RNA integrity at transcript level. TIN
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62 (transcript integrity number) is named in analogous to RIN (RNA integrity
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63 number). RIN (RNA integrity number) is the most widely used metric to
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64 evaluate RNA integrity at sample (or transcriptome) level. It is a very
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65 useful preventive measure to ensure good RNA quality and robust,
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66 reproducible RNA sequencing. However, it has several weaknesses:
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67
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68 * RIN score (1 <= RIN <= 10) is not a direct measurement of mRNA quality.
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69 RIN score heavily relies on the amount of 18S and 28S ribosome RNAs, which
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70 was demonstrated by the four features used by the RIN algorithm: the
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71 “total RNA ratio” (i.e. the fraction of the area in the region of 18S and
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72 28S compared to the total area under the curve), 28S-region height, 28S
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73 area ratio and the 18S:28S ratio24. To a large extent, RIN score was a
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74 measure of ribosome RNA integrity. However, in most RNA-seq experiments,
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75 ribosome RNAs were depleted from the library to enrich mRNA through either
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76 ribo-minus or polyA selection procedure.
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77
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78 * RIN only measures the overall RNA quality of an RNA sample. However, in real
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79 situation, the degradation rate may differs significantly among
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80 transcripts, depending on factors such as “AU-rich sequence”, “transcript
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81 length”, “GC content”, “secondary structure” and the “RNA-protein
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82 complex”. Therefore, RIN is practically not very useful in downstream
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83 analysis such as adjusting the gene expression count.
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84
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85 * RIN has very limited sensitivity to measure substantially degraded RNA
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86 samples such as preserved clinical tissues. (ref:
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87 http://www.illumina.com/documents/products/technotes/technote-truseq-rna-access.pdf).
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88
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89 To overcome these limitations, we developed TIN, an algorithm that is able
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90 to measure RNA integrity at transcript level. TIN calculates a score (0 <=
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91 TIN <= 100) for each expressed transcript, however, the medTIN (i.e.
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92 meidan TIN score across all the transcripts) can also be used to measure
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93 the RNA integrity at sample level. Below plots demonstrated TIN is a
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94 useful metric to measure RNA integrity in both transcriptome-wise and
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95 transcript-wise, as demonstrated by the high concordance with both RIN and
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96 RNA fragment size (estimated from RNA-seq read pairs).
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97
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98
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99 ## Inputs
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100
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101 Input BAM/SAM file
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102 Alignment file in BAM/SAM format.
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103
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104 Reference gene model
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105 Gene Model in BED format. Must be standard 12-column BED file.
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106
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107 Minimum coverage
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108 Minimum number of reads mapped to a tracript (default is 10).
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109
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110 Sample size
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111 Number of equal-spaced nucleotide positions picked from mRNA. Note: if
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112 this number is larger than the length of mRNA (L), it will be halved until
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113 it’s smaller than L (default is 100).
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114
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115 Subtract background
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116 Subtract background noise (estimated from intronic reads). Only use this
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117 option if there are substantial intronic reads.
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118
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119
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120 ## Outputs
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121
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122 Text
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123 Table that includes the gene identifier (geneID), chromosome (chrom),
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124 transcript start (tx_start), transcript end (tx_end), and transcript
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125 integrity number (TIN).
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126
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127 Example output:
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128
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129 ------ ----- ---------- --------- -------------
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130 geneID chrom tx_start tx_end TIN
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131 ------ ----- ---------- --------- -------------
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132 ABCC2 chr10 101542354 101611949 67.6446525761
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133 IPMK chr10 59951277 60027694 86.383618429
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134 RUFY2 chr10 70100863 70167051 43.8967503948
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135 ------ ----- ---------- --------- -------------
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136
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137 @ABOUT@
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138
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139 ]]>
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140 </help>
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141
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142 <expand macro="citations" />
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143
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144 </tool>