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

被引:43
作者
Roven, C
Bussemaker, HJ [1 ]
机构
[1] Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
[2] Columbia Univ, Ctr Computat Biol & Bioinformat, New York, NY USA
关键词
D O I
10.1093/nar/gkg630
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
REDUCE is a motif-based regression method for microarray analysis. The only required inputs are (i) a single genome-wide set of absolute or relative mRNA abundances and (ii) the DNA sequence of the regulatory region associated with each gene that is probed. Currently supported organisms are yeast, worm and fly; it is an open question whether in its current incarnation our approach can be used for mouse or human. REDUCE uses unbiased statistics to identify oligonucleotide motifs whose occurrence in the regulatory region of a gene correlates with the level of mRNA expression. Regression analysis is used to infer the activity of the transcriptional module associated with each motif. REDUCE is available online at http://bussemaker.bio.columbia.edu/reduce/. This web site provides functionality for the upload and management of microarray data. REDUCE analysis results can be viewed and downloaded, and optionally be shared with other users or made publicly accessible.
引用
收藏
页码:3487 / 3490
页数:4
相关论文
共 24 条
[1]  
Bailey T L, 1994, Proc Int Conf Intell Syst Mol Biol, V2, P28
[2]  
Ball CA, 2002, SCIENCE, V298, P539
[3]   Functional genomics as applied to mapping transcription regulatory networks [J].
Banerjee, N ;
Zhang, MX .
CURRENT OPINION IN MICROBIOLOGY, 2002, 5 (03) :313-317
[4]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[5]   ArrayExpress - a public repository for microarray gene expression data at the EBI [J].
Brazma, A ;
Parkinson, H ;
Sarkans, U ;
Shojatalab, M ;
Vilo, J ;
Abeygunawardena, N ;
Holloway, E ;
Kapushesky, M ;
Kemmeren, P ;
Lara, GG ;
Oezcimen, A ;
Rocca-Serra, P ;
Sansone, SA .
NUCLEIC ACIDS RESEARCH, 2003, 31 (01) :68-71
[6]   Exploring the new world of the genome with DNA microarrays [J].
Brown, PO ;
Botstein, D .
NATURE GENETICS, 1999, 21 (Suppl 1) :33-37
[7]   Regulatory element detection using correlation with expression [J].
Bussemaker, HJ ;
Li, H ;
Siggia, ED .
NATURE GENETICS, 2001, 27 (02) :167-171
[8]  
Chiang D Y, 2001, Bioinformatics, V17 Suppl 1, pS49
[9]   Cluster analysis and display of genome-wide expression patterns [J].
Eisen, MB ;
Spellman, PT ;
Brown, PO ;
Botstein, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) :14863-14868
[10]   Discovery and modeling of transcriptional regulatory regions [J].
Fickett, JW ;
Wasserman, WW .
CURRENT OPINION IN BIOTECHNOLOGY, 2000, 11 (01) :19-24