PRoMT: Inferring demographic history from DNA sequences

Stephen Wooding

doi:10.1093/bioinformatics/16.3.298

PRoMT: Inferring demographic history from DNA sequences

Stephen Wooding

Eugene Mcdermott Center For Human Growth & Development

Research output: Contribution to journal › Article › peer-review

Abstract

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. Availability: Source code and documentation are available at http://mombasa.anthro.utah.edu/wooding/.

Original language	English (US)
Pages (from-to)	298-299
Number of pages	2
Journal	Bioinformatics
Volume	16
Issue number	3
DOIs	https://doi.org/10.1093/bioinformatics/16.3.298
State	Published - Mar 2000

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/16.3.298

Cite this

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abstract = "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. Availability: Source code and documentation are available at http://mombasa.anthro.utah.edu/wooding/.",

author = "Stephen Wooding",

note = "Funding Information: The author wishes to thank Alan Rogers, Henry Harpend-ing and Brian Haymore for helpful comments. This work was supported by a NIH Genome Sciences training grant and a grant of computer time by the Center for High Performance Computing at the University of Utah.",

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N2 - 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. Availability: Source code and documentation are available at http://mombasa.anthro.utah.edu/wooding/.

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PRoMT: Inferring demographic history from DNA sequences

Abstract

ASJC Scopus subject areas

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