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.fr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Cite
CITATION STYLE
Drezen, E., Rizk, G., Chikhi, R., Deltel, C., Lemaitre, C., Peterlongo, P., & Lavenier, D. (2014). GATB: Genome Assembly & Analysis Tool Box. Bioinformatics (Oxford, England), 30(20), 2959–2961. https://doi.org/10.1093/bioinformatics/btu406
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