Keywords

phylogenetic analysis, epidemic, pathogen, DNA sequencing

Abstract

When a new epidemic strikes, it is often important to determine the relationship between the current organism and others that have been successfully treated previously. The phylogenetic analysis problem generates the most likely family tree for a group of organisms based on DNA sequence data. This process can take a prohibitively long period of time with current algorithms. If trees resulting from prior searches are used to seed the search, correct trees can be found much more quickly. This jumpstarting algorithm can generate superior phylogenetic solutions much more quickly than existing algorithms.

Original Publication Citation

Jumpstarting Phylogenetic Analysis, Mark Clement, Quinn Snell, Keith Crandall, Kevin Seppi, Biotechnology and Bioinformatics Symposium (BIOT), September 24, page 17-25.

Document Type

Peer-Reviewed Article

Publication Date

2004-09-01

Permanent URL

http://hdl.lib.byu.edu/1877/2578

Publisher

BIOT

Language

English

College

Physical and Mathematical Sciences

Department

Computer Science

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