Home LiteratureArticle Details
PMID: 8193955 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

fastDNAmL: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood.

Computer applications in the biosciences : CABIOS ·Vol. 10 ·No. 1 ·1994-02-00 ·Pages 41-8

Olsen GJ, Matsuda H, Hagstrom R, Overbeek R

Abstract

We have developed a new tool, called fastDNAml, for constructing phylogenetic trees from DNA sequences. The program can be run on a wide variety of computers ranging from Unix workstations to massively parallel systems, and is available from the Ribosomal Database Project (RDP) by anonymous FTP. Our program uses a maximum likelihood approach and is based on version 3.3 of Felsenstein's dnaml program. Several enhancements, including algorithmic changes, significantly improve performance and reduce memory usage, making it feasible to construct even very large trees. Trees containing 40-100 taxa have been easily generated, and phylogenetic estimates are possible even when hundreds of sequences exist. We are currently using the tool to construct a phylogenetic tree based on 473 small subunit rRNA sequences from prokaryotes.

MeSH Terms
Algorithms Bacteria/classification,genetics DNA/genetics DNA, Bacterial/genetics Databases, Factual Evaluation Studies as Topic Likelihood Functions Phylogeny RNA, Ribosomal, 16S/genetics Sequence Alignment/methods,statistics & numerical data Software
Chemicals
DNA, Bacterial RNA, Ribosomal, 16S DNA
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Olsen G J
Department of Microbiology, University of Illinois, Urbana 61801.
Matsuda H
Hagstrom R
Overbeek R
Article Info
Journal
Computer applications in the biosciences : CABIOS
Abbr.
Comput Appl Biosci
ISSN
0266-7061
Published
1994-02-00
Pages
41-8
Language
English
Region
England
NLM ID
8511758
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]