A case study of high-throughput biological data processing on parallel platforms | Zendy

Dmitry Pekurovsky | Zendy; Ilya N. Shindyalov | Zendy; Philip E. Bourne | Zendy

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A case study of high-throughput biological data processing on parallel platforms

Author(s) -

Dmitry Pekurovsky,

Ilya N. Shindyalov,

Philip E. Bourne

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth184

Subject(s) - computer science , massively parallel , parallel computing , redundancy (engineering) , pairwise comparison , source code , software , task (project management) , throughput , program optimization , biological data , code (set theory) , data structure , theoretical computer science , programming language , bioinformatics , artificial intelligence , telecommunications , management , set (abstract data type) , compiler , economics , wireless , biology , operating system

Analysis of large biological data sets using a variety of parallel processor computer architectures is a common task in bioinformatics. The efficiency of the analysis can be significantly improved by properly handling redundancy present in these data combined with taking advantage of the unique features of these compute architectures.

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