Literature DB >> 10679343

Discovery and modeling of transcriptional regulatory regions.

J W Fickett1, W W Wasserman.   

Abstract

A complex network of regulatory controls governs the patterns of gene expression. Enabled by the tools of molecular cloning, initial experimental queries into the gene regulatory network elucidated a wide array of transcription factors and their cognate binding sites from hundreds of genes. The recent fusion of genome-scale experimental tools, a more comprehensive gene catalog, and concomitant advances in computational methodology, has extended the range of questions being posed. The potential to further our understanding of the biochemical mechanisms of transcriptional regulation and to accelerate the delineation of regulatory control regions in the human genome is enormous.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10679343     DOI: 10.1016/s0958-1669(99)00049-x

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  43 in total

1.  Deciphering genetic regulatory codes: a challenge for functional genomics.

Authors:  Alan M Michelson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

2.  A predictive model for regulatory sequences directing liver-specific transcription.

Authors:  W Krivan; W W Wasserman
Journal:  Genome Res       Date:  2001-09       Impact factor: 9.043

3.  rVista for comparative sequence-based discovery of functional transcription factor binding sites.

Authors:  Gabriela G Loots; Ivan Ovcharenko; Lior Pachter; Inna Dubchak; Edward M Rubin
Journal:  Genome Res       Date:  2002-05       Impact factor: 9.043

Review 4.  In silico identification of metazoan transcriptional regulatory regions.

Authors:  Wyeth W Wasserman; William Krivan
Journal:  Naturwissenschaften       Date:  2003-03-27

5.  Computation-based discovery of related transcriptional regulatory modules and motifs using an experimentally validated combinatorial model.

Authors:  Marc S Halfon; Yonatan Grad; George M Church; Alan M Michelson
Journal:  Genome Res       Date:  2002-07       Impact factor: 9.043

6.  An approach to identify over-represented cis-elements in related sequences.

Authors:  Jiashun Zheng; Jiajin Wu; Zhirong Sun
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

7.  REDUCE: An online tool for inferring cis-regulatory elements and transcriptional module activities from microarray data.

Authors:  Crispin Roven; Harmen J Bussemaker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 8.  Computational approaches to identify promoters and cis-regulatory elements in plant genomes.

Authors:  Stephane Rombauts; Kobe Florquin; Magali Lescot; Kathleen Marchal; Pierre Rouzé; Yves van de Peer
Journal:  Plant Physiol       Date:  2003-07       Impact factor: 8.340

9.  A biophysical approach to transcription factor binding site discovery.

Authors:  Marko Djordjevic; Anirvan M Sengupta; Boris I Shraiman
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

10.  CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

Authors:  Suresh Karanam; Carlos S Moreno
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.