comparison rseqc/clipping_profile.xml @ 27:5dbd20d3d623

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author nilesh
date Thu, 11 Jul 2013 12:28:04 -0400
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26:9a33e347a3de 27:5dbd20d3d623
1 <tool id="clipping_profile" name="Clipping Profile">
2 <description>
3 estimates clipping profile of RNA-seq reads from BAM or SAM file
4 </description>
5 <command interpreter="python">
6 /home/nilesh/RSeQC-2.3.3/scripts/clipping_profile.py -i $input -o output
7 </command>
8 <inputs>
9 <param name="input" type="data" label="Input .bam/.sam File" format="bam,sam" />
10 </inputs>
11 <outputs>
12 <data format="xls" name="outputxls" from_work_dir="output.clipping_profile.xls" />
13 <data format="r" name="outputr" from_work_dir="output.clipping_profile.r" />
14 </outputs>
15 <help>
16 .. image:: https://code.google.com/p/rseqc/logo?cct=1336721062
17
18 -----
19
20 About RSeQC
21 +++++++++++
22
23 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.
24
25 The RSeQC package is licensed under the GNU GPL v3 license.
26
27 Inputs
28 ++++++++++++++
29
30 Input BAM/SAM file
31 Alignment file in BAM/SAM format.
32
33
34 Sample Output
35 ++++++++++++++
36
37 .. image:: http://dldcc-web.brc.bcm.edu/lilab/liguow/RSeQC/figure/clipping_good.png
38
39
40 </help>
41 </tool>