CaPSID: Computational Pathogen Sequence Identification
Project description
CaPSID
CaPSID (Computational Pathogen Sequence IDentification) is a comprehensive open source platform which integrates a high-performance computational pipeline for pathogen sequence identification and characterization in human genomes and transcriptomes together with a scalable results database and a user-friendly web-based software application for managing, querying and visualizing results.
Project Leader Vincent Ferretti Developement Team Ivan Borozan, Philippe Laflamme, Shane Wilson
Getting Started
You will need a MongoDB database, a Python 2.6+ installation and a Java Web Server. For more details, read the wiki:
License and Copyright
Licensed under the GNU General Public License, Version 3.0. See LICENSE for more details.
Copyright 2011 The Ontario Institute for Cancer Research.
News
1.2
Release date: 20 Jan 2012
Utility to create FastQ files from unmapped reads
Utility to return intersection of FastQ files
Utility to return filter FastQ files
Added mapq threshold flag to subtraction
Gbloader can now load bacteria and fungal genomes
Saves genome sequences to database using GridFS
Reduced memory footprint when calculating statistics
use subprocesses instead of os.system
mapq scores filter needs to include 0 <= mapq <=3 due to multiple mapping reads
1.1
Release date: 25 Nov 2011
Adds support for pair-end reads
1.0.1
Release date: 19 Oct 2011
Added support for MongoDB authentication
1.0
Release date: 12 Oct 2011
Initial release
Project details
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