PRoMT: inferring demographic history from DNA sequences | Zendy

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PRoMT: inferring demographic history from DNA sequences

Author(s) -

Stephen Wooding

Publication year - 2000

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/16.3.298

Subject(s) - documentation , workstation , computer science , sequence (biology) , demographic history , code (set theory) , speedup , source code , theoretical computer science , parallel computing , programming language , biology , genetics , operating system , gene , set (abstract data type) , genetic variation

I describe a parallel implementation of Rogers' mismatch algorithm, a method for making inferences about demographic history from DNA sequence data. The program is distributed on clusters of workstations, providing a substantial speedup and low execution times on large numbers of nodes.

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