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Identifying regulatory networks by combinatorial analysis of promoter elements
2001
Nature Genetics
These authors contributed equally to this work. Several computational methods based on microarray data are currently used to study genome-wide transcriptional regulation. Few studies, however, address the combinatorial nature of transcription, a well-established phenomenon in eukaryotes. Here we describe a new approach using microarray data to uncover novel functional motif combinations in the promoters of Saccharomyces cerevisiae. In addition to identifying novel motif combinations that affect
doi:10.1038/ng724
pmid:11547334
fatcat:zften7cunzgh7hr2fwkyz73z4i