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From global expression data to gene networks
Author(s) -
Thieffry Denis
Publication year - 1999
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/(sici)1521-1878(199911)21:11<895::aid-bies1>3.0.co;2-f
Subject(s) - biology , dna microarray , computational biology , gene , genetics , functional genomics , genomics , transcription factor , transcription (linguistics) , gene expression , dna binding site , genome , dna , promoter , linguistics , philosophy
Allowing the parallel monitoring of the transcription of thousands of genes, microarrays constitute a powerful technique for functional genomics. In a recent paper, a clustering method and a local alignment software were combined to identify DNA motifs in sets of yeast genes endowed with similar transcription profiles throughout mitosis (1) . Identifying various known transcriptional binding sites together with new putative ones, the authors made a significant step towards a systematic characterization of the regulatory structure of genomic networks. BioEssays 1999;21:895–899. © 1999 John Wiley & Sons, Inc.