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PMG: Multi-core Metabolite Identification
Author(s) -
Mohammad Mahdi Jaghoori,
Sung-Shik T. Q. Jongmans,
Frank de Boer,
Julio E. Peironcely,
JeanLoup Faulon,
Theo Reijmers,
Thomas Hankemeier
Publication year - 2013
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2013.11.005
Subject(s) - bottleneck , scalability , computer science , pipeline (software) , identification (biology) , many core , multi core processor , distributed computing , metabolomics , parallel computing , software , core (optical fiber) , computer architecture , embedded system , bioinformatics , operating system , biology , telecommunications , botany
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

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