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author | vipints |
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date | Wed, 27 Jun 2012 15:35:11 -0400 |
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--------------------------------------------------- DESeq-hts: A Galaxy wrapper for DESeq version 1.6.1 --------------------------------------------------- Description: DESeq can be used as a web service embedded in a Galaxy instance. We call it as DESeq-hts. Requirements: MATLAB/OCTAVE and Python :- Preprocessing of sequencing reads and GFF files R, Bio-conductor package :- Required for DESEQ SCIPY, NUMPY :- for python SAMTOOLS :- Read processing Contents: [src] All relevant scripts for DESeq-hts are located in the subdirectory src. src/deseq.sh is the main script to start DESeq-hts. The preprocessing of BAM and GFF file start before the R DESEQ script. Please follow the shell script to understand the details. [galaxy] Galaxy tool configuration file can be found galaxy folder. Please make necessary editing for .xml file and remaining .sh files and perform few tests. [setup_deseq-hts.sh] Setup script for DESeq-hts. [mex] matlab executable files. [bin] Contains deseq_config.sh file which is used for the configuration of DESeq-hts. According to your platform, the default file will be changed. [test_data] This subsirectory contains all data for running a functional test in Galaxy framework. You may need to move these test files into the test-data directory. [tools] A python based GFF parsing program. Also contains small utils programs. Getting started: Check for all requirements first, then a) Run ./setup_deseq-hts.sh and setup paths and configuration options for DESeq-hts. b) Inside the mex folder execute the make file to create platform dependent .mex files cd mex/Makefile make [interpreter] make octave for octave make matlab for matlab make all for octave and matlab c) Edit the Galaxy tool configuration file to adjust the path if necessary. Licenses: If **DESeq** is used to obtain results for scientific publications it should be cited as [1]. This wrapper program (DESeq-hts) is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. Written (W) 2009-2012 Jonas Behr, Regina Bohnert, Andre Kahles, Gunnar Raetsch, Vipin T. Sreedharan Copyright (C) 2009-2012 Friedrich Miescher Laboratory of the Max Planck Society, Tubingen, Germany and 2012 cBio Memorial Sloan Kettering Cancer Center, New York City, USA. References: [1] Anders, S and Huber, W (2010): `Differential expression analysis for sequence count data`. Contact: vipin@cbio.mskcc.org