Revealing modular organization in the yeast transcriptional network
Details
Serval ID
serval:BIB_FFA16176D4F3
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Revealing modular organization in the yeast transcriptional network
Journal
Nature Genetics
ISSN
1061-4036 (Print)
Publication state
Published
Issued date
08/2002
Volume
31
Number
4
Pages
370-7
Notes
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S. --- Old month value: Aug
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S. --- Old month value: Aug
Abstract
Standard clustering methods can classify genes successfully when applied to relatively small data sets, but have limited use in the analysis of large-scale expression data, mainly owing to their assignment of a gene to a single cluster. Here we propose an alternative method for the global analysis of genome-wide expression data. Our approach assigns genes to context-dependent and potentially overlapping 'transcription modules', thus overcoming the main limitations of traditional clustering methods. We use our method to elucidate regulatory properties of cellular pathways and to characterize cis-regulatory elements. By applying our algorithm systematically to all of the available expression data on Saccharomyces cerevisiae, we identify a comprehensive set of overlapping transcriptional modules. Our results provide functional predictions for numerous genes, identify relations between modules and present a global view on the transcriptional network.
Keywords
*Algorithms
Citric Acid Cycle
*Gene Expression Regulation, Fungal
Models, Genetic
Regulatory Sequences, Nucleic Acid
Reproducibility of Results
*Transcription, Genetic
Yeasts/*genetics/metabolism
Pubmed
Web of science
Create date
24/01/2008 15:10
Last modification date
20/08/2019 17:29