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ABSTRACT: Motivation
Efficient and fast next-generation sequencing (NGS) algorithms are essential to analyze the terabytes of data generated by the NGS machines. A serious bottleneck can be the design of such algorithms, as they require sophisticated data structures and advanced hardware implementation.Results
We propose an open-source library dedicated to genome assembly and analysis to fasten the process of developing efficient software. The library is based on a recent optimized de-Bruijn graph implementation allowing complex genomes to be processed on desktop computers using fast algorithms with low memory footprints.Availability and implementation
The GATB library is written in C++ and is available at the following Web site http://gatb.inria.fr under the A-GPL license.Contact
lavenier@irisa.frSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Drezen E
PROVIDER: S-EPMC4184257 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature
Drezen Erwan E Rizk Guillaume G Chikhi Rayan R Deltel Charles C Lemaitre Claire C Peterlongo Pierre P Lavenier Dominique D
Bioinformatics (Oxford, England) 20140701 20
<h4>Motivation</h4>Efficient and fast next-generation sequencing (NGS) algorithms are essential to analyze the terabytes of data generated by the NGS machines. A serious bottleneck can be the design of such algorithms, as they require sophisticated data structures and advanced hardware implementation.<h4>Results</h4>We propose an open-source library dedicated to genome assembly and analysis to fasten the process of developing efficient software. The library is based on a recent optimized de-Brui ...[more]