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NEGATIVE INFORMATION FOR MOTIF DISCOVERY
2003
Biocomputing 2004
We discuss a method of combining genome-wide transcription factor binding data, gene expression data, and genome sequence data for the purpose of motif discovery in S. cerevisiae. Within the word-counting algorithmic approach to motif discovery, we present a method of incorporating information from negative intergenic regions where a transcription factor is thought not to bind, and a statistical significance measure which account for intergenic regions of different lengths. Our results
doi:10.1142/9789812704856_0034
fatcat:bpol56mrbzgf7ahreuysdrperi