A statistical analysis of the TRANSFAC database.
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.
Fogel
Gary B
GB
Natural Selection, Inc., 3333 N. Torrey Pines Ct., Suite 200, La Jolla, CA 92037, USA.
Weekes
Dana G
DG
Varga
Gabor
G
Dow
Ernst R
ER
Craven
Andrew M
AM
Harlow
Harry B
HB
Su
Eric W
EW
Onyia
Jude E
JE
Su
Chen
C
D000465:Algorithms; D020816:Amino Acid Motifs; D000818:Animals; D001665:Binding Sites; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D005786:Gene Expression Regulation; D006801:Humans; D015233:Models, Statistical; D012984:Software; D013223:Statistics as Topic; D049490:Systems Biology; D014157:Transcription Factors / Q000737:chemistry*; D014158:Transcription, Genetic
D014157:Transcription Factors