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PMID: 15941617 Published · ppublish English Journal Article

A statistical analysis of the TRANSFAC database.

Bio Systems ·Vol. 81 ·No. 2 ·2005-08-00 ·Pages 137-54

Fogel GB, Weekes DG, Varga G, Dow ER, Craven AM, Harlow HB, Su EW, Onyia JE, Su C

Abstract

Transcription factors are key regulatory elements that control gene expression. The TRANSFAC database represents the largest repository for experimentally derived transcription factor binding sites (TFBS). Understanding TFBS, which are typically conserved during evolution, helps us identify genomic regions related to human health and disease, and regions that might be predictive of patient outcomes. Here we present a statistical analysis of all TFBS in the TRANSFAC database. Our analysis suggests that current definition of TFBS core regions in TRANSFAC should be re-examined so as to capture a more precise notion of "cores." We offer insight into more appropriate definitions of TFBS consensus sequences and core regions. These revised definitions provide a better understanding of the nature of transcription factor-DNA binding and assist with developing algorithms for de novo TFBS discovery as well as finding novel variants of known TFBS.

MeSH Terms
Algorithms Amino Acid Motifs Animals Binding Sites Cluster Analysis Computational Biology/methods Databases, Protein Gene Expression Regulation Humans Models, Statistical Software Statistics as Topic Systems Biology Transcription Factors/chemistry Transcription, Genetic
Chemicals
Transcription Factors
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Fogel Gary B
Natural Selection, Inc., 3333 N. Torrey Pines Ct., Suite 200, La Jolla, CA 92037, USA.
Weekes Dana G
Varga Gabor
Dow Ernst R
Craven Andrew M
Harlow Harry B
Su Eric W
Onyia Jude E
Su Chen
Article Info
Journal
Bio Systems
Abbr.
Biosystems
ISSN
0303-2647
Published
2005-08-00
Pages
137-54
Language
English
Region
Ireland
NLM ID
0430773
Subset
IM
Analysis Services
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