PMG: Multi-core Metabolite Identification

Authors:
Mohammad Mahdi Jaghoori;Sung-Shik T. Q. Jongmans;Frank De Boer;Julio Peironcely;Jean-Loup Faulon;Theo Reijmers;Thomas Hankemeier
Affiliations:
Academic Medical Center (AMC), Amsterdam, The Netherlands and Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands and Leiden Academic Center for Drug Research (LACDR), Le ...;Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands;Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands;Leiden Academic Center for Drug Research (LACDR), Leiden, The Netherlands;Institute of Systems and Synthetic Biology (iSSB), Evry, France;Leiden Academic Center for Drug Research (LACDR), Leiden, The Netherlands;Leiden Academic Center for Drug Research (LACDR), Leiden, The Netherlands
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2013

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Abstract

Distributed computing has been considered for decades as a promising way of speeding up software execution, resulting in a valuable collection of safe and efficient concurrent algorithms. With the pervasion of multi-core processors, parallelization has moved to the center of attention with new challenges, especially regarding scalability to tens or even hundreds of parallel cores. In this paper, we present a scalable multi-core tool for the metabolomics community. This tool addresses the problem of metabolite identification which is currently a bottleneck in metabolomics pipeline.