Mining putative regulatory elements in promoter regions of Saccharomyces cerevisiae

Jorng Tzong Horng, Hsien Da Huang, Shir Ly Huang, Ueng Cheng Yang, Yu Chang Chang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The availability of genome-wide gene expression data provides a unique set of genes from which we can decipher the mechanisms underlying the common transcriptional response. Transcription factors, which can bind to specific DNA sites, cooperatively regulate the transcription of genes. This study attempts to mine putative binding sites to investigate how combinations of the sites predicted from known sites and over-represented repetitive elements are distributed in the promoter regions of groups of functionally related genes. The over-represented repetitive elements appearing in the associations are possible transcription factor binding sites. The deduced association rules would facilitate to predict putative regulatory elements and to identify genes which are potentially co-regulated by the putative regulatory elements. Our proposed approach is applied to Saccharomyces cerevisiae and the promoter regions of yeast ORFs.

Original languageEnglish
Pages (from-to)263-273
Number of pages11
JournalIn Silico Biology
Volume2
Issue number3
StatePublished - 2002

Keywords

  • Data mining
  • Promoter
  • Regulatory elements
  • Repetitive oligonucleotide

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