NDLI: Parallel Phylogenetic Inference

Content Provider	IEEE Xplore Digital Library
Author	Snell, Q. Whiting, M. Clement, M. McLaughlin, D.
Copyright Year	2000
Description	Author affiliation: Brigham Young University (Snell, Q.)
Abstract	Recent advances in DNA sequencing technology have created large data sets upon which phylogenetic inference can be performed. However, current research is limited by the prohibitive time necessary to perform tree search on even a reasonably sized data set. Some parallel algorithms have been developed but the biological research community does not use them because they dont trust the results from newly developed parallel software. This paper presents a new phylogenetic algorithm that allows existing, trusted phylogenetic software packages to be executed in parallel using the DOGMA parallel processing system. The results presented here indicate that data sets that currently take as much as 11 months to search using current algorithms, can be searched in as little as 2 hours using as few as 8 processors. This reduction in the time necessary to complete a phylogenetic search allows new research questions to be explored in many of the biological sciences.
Starting Page	35
Ending Page	35
File Size	601720
Page Count	1
File Format	PDF
ISBN	0780398025
ISSN	10639535
DOI	10.1109/SC.2000.10062
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-11-04
Access Restriction	Subscribed
Rights Holder	Non IEEE
Subject Keyword	Phylogeny Topology Systematics Sequences Data analysis DNA Biology Maximum likelihood estimation Bifurcation Parallel algorithms
Content Type	Text
Resource Type	Article

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