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Titolo:
Detection of cis-element clusters in higher eukaryotic DNA
Autore:
Frith, MC; Hansen, U; Weng, ZP;
Indirizzi:
Boston Univ, Bioinformat Program, Boston, MA 02215 USA Boston Univ BostonMA USA 02215 Bioinformat Program, Boston, MA 02215 USA Boston Univ, Dept Biol, Boston, MA 02215 USA Boston Univ Boston MA USA 02215 ton Univ, Dept Biol, Boston, MA 02215 USA Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA Boston Univ Boston MAUSA 02215 v, Dept Biomed Engn, Boston, MA 02215 USA
Titolo Testata:
BIOINFORMATICS
fascicolo: 10, volume: 17, anno: 2001,
pagine: 878 - 889
SICI:
1367-4803(200110)17:10<878:DOCCIH>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
TRANSCRIPTION FACTOR CP2; RNA POLYMERASE-II; IMMUNODEFICIENCY-VIRUS TYPE-1; A-CRYSTALLIN GENE; PROMOTER SEQUENCES; REGULATORY REGIONS; BINDING-SITES; FACTOR LSF; FUNCTIONAL PROMOTER; HIV-1 TRANSCRIPTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
53
Recensione:
Indirizzi per estratti:
Indirizzo: Weng, ZP Boston Univ, Bioinformat Program, 44 Cummington St, Boston, MA 02215 USA Boston Univ 44 Cummington St Boston MA USA 02215 on, MA 02215 USA
Citazione:
M.C. Frith et al., "Detection of cis-element clusters in higher eukaryotic DNA", BIOINFORMAT, 17(10), 2001, pp. 878-889

Abstract

Motivation: Computational prediction and analysis of transcription. regulatory regions in DNA sequences has the potential to accelerate greatly our understanding of how cellular processes are controlled. We present a hidden Markov model 'based method for detecting regulatory regions in DNA sequences, by searching for clusters of cis-elements. Results: When applied to regulatory targets of the transcription factor LSF, this method achieves a sensitivity of 67%, while making one prediction per 33 kb of nonrepetitive human genomic sequence. When applied to muscle specific regulatory regions, we obtain a sensitivity and prediction rate thatcompare favorably with one of the best alternative approaches. Our method,which we call Cister, can be used! to predict different varieties of regulatory region by searching for clusters of cis-elements of any type chosen by the user. Cister is simple to use and is available on the web.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 18/01/20 alle ore 13:18:28