Literature DB >> 10641039

A web site for the computational analysis of yeast regulatory sequences.

J van Helden1, B André, J Collado-Vides.   

Abstract

A series of computer programs were developed for the analysis of regulatory sequences, with a special focus on yeast. These tools are publicly available on the web (http://copan.cifn.unam. mx/Computational_Biology/yeast-tools or http://www.ucmb.ulb.ac. be/bioinformatics/rsa-tools/). Basically, three classical problems can be addressed: (a) search for known regulatory patterns in the upstream regions of known genes; (b) discovery of unknown regulatory patterns within a set of upstream regions known to be co-regulated; (c) search for unknown genes potentially regulated by a known transcription factor. Each of these tasks can be performed on basis of a simple (string) or more refined (matrix) description of the regulatory patterns. A feature-map program automatically generates visual representations of the positions at which patterns were found. The site also provides a series of general utilities, such as generation of random sequence, automatic drawing of XY graphs, interconversions between sequence formats, etc. Several tools are linked together to allow their sequential utilization (piping), but each one can also be used independently by filling the web form with external data. This widens the scope of the site to the analysis of non-regulatory and/or non-yeast sequences. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 10641039     DOI: 10.1002/(SICI)1097-0061(20000130)16:2<177::AID-YEA516>3.0.CO;2-9

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  77 in total

1.  Discovering regulatory elements in non-coding sequences by analysis of spaced dyads.

Authors:  J van Helden; A F Rios; J Collado-Vides
Journal:  Nucleic Acids Res       Date:  2000-04-15       Impact factor: 16.971

2.  An artificial transcription activator mimics the genome-wide properties of the yeast Pdr1 transcription factor.

Authors:  F Devaux; P Marc; C Bouchoux; T Delaveau; I Hikkel; M C Potier; C Jacq
Journal:  EMBO Rep       Date:  2001-06       Impact factor: 8.807

3.  New insights into the pleiotropic drug resistance network from genome-wide characterization of the YRR1 transcription factor regulation system.

Authors:  Stéphane Le Crom; Frédéric Devaux; Philippe Marc; Xiaoting Zhang; W Scott Moye-Rowley; Claude Jacq
Journal:  Mol Cell Biol       Date:  2002-04       Impact factor: 4.272

4.  Efg1, a morphogenetic regulator in Candida albicans, is a sequence-specific DNA binding protein.

Authors:  P Leng; P R Lee; H Wu; A J Brown
Journal:  J Bacteriol       Date:  2001-07       Impact factor: 3.490

5.  Identification of the binding sites of regulatory proteins in bacterial genomes.

Authors:  Hao Li; Virgil Rhodius; Carol Gross; Eric D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-14       Impact factor: 11.205

6.  In silico identification of putative regulatory sequence elements in the 5'-untranslated region of genes that are expressed during male gametogenesis.

Authors:  Raymond Jozef Maurinus Hulzink; Han Weerdesteyn; Anton Felix Croes; Tom Gerats; Marinus Maria Antonius van Herpen; Jacques van Helden
Journal:  Plant Physiol       Date:  2003-05       Impact factor: 8.340

7.  Regulatory sequence analysis tools.

Authors:  Jacques van Helden
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

8.  Gibbs Recursive Sampler: finding transcription factor binding sites.

Authors:  William Thompson; Eric C Rouchka; Charles E Lawrence
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

9.  SPA: Simple web tool to assess statistical significance of DNA patterns.

Authors:  H Richard; G Nuel
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

10.  Enhancer trapping reveals widespread circadian clock transcriptional control in Arabidopsis.

Authors:  Todd P Michael; C Robertson McClung
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

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