Journal
GENOME BIOLOGY
Volume 12, Issue 11, Pages -Publisher
BMC
DOI: 10.1186/gb-2011-12-11-r111
Keywords
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Funding
- NIH
- AL Williams Professorship funds
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We propose a method to predict yeast transcription factor targets by integrating histone modification profiles with transcription factor binding motif information. It shows improved predictive power compared to a binding motif-only method. We find that transcription factors cluster into histone-sensitive and -insensitive classes. The target genes of histone-sensitive transcription factors have stronger histone modification signals than those of histonein-sensitive ones. The two classes also differ in tendency to interact with histone modifiers, degree of connectivity in protein-protein interaction networks, position in the transcriptional regulation hierarchy, and in a number of additional features, indicating possible differences in their transcriptional regulation mechanisms.
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