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PMID: 15814553 Published · ppublish English Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

BEST: binding-site estimation suite of tools.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 12 ·2005-06-15 ·Pages 2909-11

Che D, Jensen S, Cai L, Liu JS

Abstract

The purpose of our Binding-site Estimation Suite of Tools (BEST) is two-fold: to provide a platform for using and comparing different motif-finding programs for transcription factor binding site prediction, and to improve the accuracy of these predictions by further optimization. Our software package BEST includes four commonly used motif-finding programs: AlignACE, BioProspector, CONSENSUS and MEME, as well as the optimization program BioOptimizer. BEST allows the user to run programs either separately or sequentially and manages all programs by automating the common inputs and the optimization procedure. The BEST system was implemented in Qt, a C++ application development framework, and was compiled and executed on Linux operating systems. BEST is available for download at http://www.cs.uga.edu/~che/BEST and http://www.fas.harvard.edu/~junliu/BEST CONTACT: [email protected], [email protected].

MeSH Terms
Algorithms Binding Sites Computer Graphics DNA/chemistry,genetics,metabolism Protein Binding Sequence Alignment/methods Sequence Analysis, DNA/methods Software Transcription Factors/chemistry,genetics,metabolism User-Computer Interface
Chemicals
Transcription Factors DNA
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Che Dongsheng
Department of Computer Science, University of Georgia, Athens, GA 30602, USA. [email protected]
Jensen Shane
Cai Liming
Liu Jun S
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-06-15
Epub
2005-00-06
Pages
2909-11
Language
English
Region
England
NLM ID
9808944
Subset
IM
Grants
NHGRI NIH HHS · R01-HG02518-01 · United States
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