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.
BYU ScholarsArchive Citation
Clement, Mark J.; Crandall, Keith A.; Seppi, Kevin; and Snell, Quinn O., "Jumpstarting Phylogenetic Analysis" (2004). Faculty Publications. 420.
https://scholarsarchive.byu.edu/facpub/420
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
Copyright Status
© 2004 Quinn Snell et al.
Copyright Use Information
http://lib.byu.edu/about/copyright/