Mercurial > repos > jjohnson > fastqc
diff fastqc/README @ 0:1d373f219445 default tip
Migrated tool version 1.0.0 from old tool shed archive to new tool shed repository
author | jjohnson |
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date | Tue, 07 Jun 2011 17:22:05 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/fastqc/README Tue Jun 07 17:22:05 2011 -0400 @@ -0,0 +1,39 @@ + +FastQC +------ + +From the FastQC website http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/ + +Function A quality control tool for high throughput sequence data. +Language Java +Requirements A suitable Java Runtime Environment + The Picard BAM/SAM Libraries (included in download) +Code Maturity Stable. Mature code, but feedback is appreciated. +Code Released Yes, under GPL v3 or later. +Initial Contact Simon Andrews + +FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. + +The main functions of FastQC are: + +- Import of data from BAM, SAM or FastQ files (any variant) +- Providing a quick overview to tell you in which areas there may be problems +- Summary graphs and tables to quickly assess your data +- Export of results to an HTML based permanent report +- Offline operation to allow automated generation of reports without running the interactive application + +Download and installation information is at: http://www.bioinformatics.bbsrc.ac.uk/projects/download.html#fastqc + + +Galaxy Tool Wrapper +------------------- + +The galaxy tool wrapper for FastQC requires version: FastQC v0.7.2 + +FastQC should be downloaded and installed on the system on which it will be executed. +The PATH environment variable should include the directory in which the fastqc script resides. + +The fastqc.py wrapper invokes the fastqc script provided in FastQC download, +and converts the FastQC results into a Galaxy html formatted dataset. + +