Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data

@article{Vilo2000MiningFP,
  title={Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data},
  author={Jaak Vilo and Alvis Brazma and Inge Jonassen and Alan J. Robinson and Esko Ukkonen},
  journal={Proceedings. International Conference on Intelligent Systems for Molecular Biology},
  year={2000},
  volume={8},
  pages={384-94}
}
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clustering, sequence pattern discovery from upstream sequences of genes, a control experiment for pattern significance threshold limit detection, selection of interesting patterns, grouping of these patterns, representing the pattern groups in a concise form and evaluating the discovered putative signals against existing… CONTINUE READING
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Promoter analysis of co-regulated genes in the yeast genome

  • M. Q. Zhang
  • Computers and Chemistry 23:233–250.
  • 1999
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