Looking for the latest version? Download cgp-v0.4.3.unstable.tar.gz (1.6 MB)
Name Modified Size Downloads / Week Status
cgp-v0.4.3.unstable.tar.gz 2014-08-14 1.6 MB 0
cgp-v0.4.2.unstable.tar.gz 2014-03-26 4.9 MB 0
README 2013-04-30 1.8 kB 0
cgp-v0.4.1.tar.gz 2013-04-30 292.6 kB 0
cgp_tool.tar 2013-03-23 10.2 kB 0
cg_pipeline- 2011-07-26 96.7 kB 0
cg_pipeline-0.3.2.tgz 2011-02-16 88.2 kB 0
cg_pipeline-0.3.1.tgz 2010-10-20 83.4 kB 0
cg_pipeline-0.3.0.tgz 2010-09-28 80.9 kB 0
cg_pipeline-0.2.7.tgz 2010-09-14 79.6 kB 0
cg_pipeline-0.2.6.tgz 2010-08-31 79.8 kB 0
Totals: 11 Items   7.3 MB
SYNOPSIS run_pipeline [build|create|assemble|predict|annotate] [-p project] -i target.sff [-r reference.fasta] [-t tag_prefix] [-e expectedGenomeSize] # or with more control, the three individual stages (asm, pred, annot) run_assembly input.sff [, input2.sff, ...] [-R references.mfa] run_prediction input.mfa [, input2.mfa, ...] -strain_name=name [-tag_prefix=prefix] [-classification=classification] [-R references.mfa] [-o=output_filename.gb] run_annotation input.gb DESCRIPTION cg_pipeline is a computational genomics pipeline for bacterial genome sequencing projects. The pipeline provides infrastructure for automated, configurable, reproducible execution of genome assembly, feature prediction and functional annotation using algorithms from state of the art programs in each field. The package is described in detail in [1]. Installation and updating instructions can be found in the INSTALL file. cg_pipeline is licensed under the terms of the GNU GPL license. See the LICENSE file for details. CONFIGURATION Key configuration parameters for cg_pipeline are stored in the file cg_pipeline/conf/cgpipelinerc. Users can override values in this file with the per-user configuration file ${HOME}/.cgpipelinerc. Descriptions of the parameters appear together with the parameters in the configuration file. AUTHORS Lee Katz Jay Humphrey Andrey Kislyuk Centers for Disease Control and Prevention The European Bioinformatics Institute Georgia Institute of Technology: Computational Genomics Group (http://compgenomics.biology.gatech.edu/) Evolutionary Systems Biology Group (http://esbg.biology.gatech.edu/) Neisseria Base (http://nbase.biology.gatech.edu/) [1] A computational genomics pipeline for microbial sequencing projects. Kislyuk et al. Bioinformatics Advance Access June 2, 2010, DOI 10.1093/bioinformatics/btq284.
Source: README, updated 2013-04-30

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