comparison fastqc_checker.xml @ 0:d8d131d08779 draft default tip

Initial upload.
author hackdna
date Tue, 21 May 2013 11:48:53 -0400
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1 <tool id="fastqc_checker_1" name="FastQC checker" version="1.0.0">
2 <description>for quality control of high throughput sequence data</description>
3
4 <command interpreter="python">
5 fastqc_checker.py -e ${GALAXY_DATA_INDEX_DIR}/shared/jars/FastQC/fastqc -o $output $input
6 </command>
7
8 <inputs>
9 <param format="fastq" name="input" type="data" label="Source files" multiple="true"/>
10 </inputs>
11 <outputs>
12 <data format="txt" name="output"/>
13 </outputs>
14
15 <help>
16
17 .. class:: infomark
18
19 **Purpose**
20
21 FastQC aims to provide a simple way to do some quality control checks on raw
22 sequence data coming from high throughput sequencing pipelines.
23 It provides a modular set of analyses which you can use to give a quick
24 impression of whether your data has any problems of
25 which you should be aware before doing any further analysis.
26
27 **FastQC documentation**
28
29 This is a Galaxy interface to the external package FastQC_.
30 Specific documentation on FastQC can be found on that site.
31
32 .. _FastQC: http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/
33
34 -----
35
36 .. class:: infomark
37
38 **Inputs and outputs**
39
40 This wrapper will accept one or more fastq files.
41
42 The tool produces a single output file that contains summary of all the results, including the following:
43
44 - Basic Statistics
45 - Per base sequence quality
46 - Per sequence quality scores
47 - Per base sequence content
48 - Per base GC content
49 - Per sequence GC content
50 - Per base N content
51 - Sequence Length Distribution
52 - Sequence Duplication Levels
53 - Overrepresented sequences
54 - Kmer Content
55
56 </help>
57 </tool>