Human skeletal muscle differentiation time course
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ABSTRACT: We have developed an algorithm (âLeverâ) that systematically maps metazoan DNA regulatory motifs or motif combinations to the sets of genes that they likely regulate. Lever accomplishes this by assessing whether the motifs are enriched within cis regulatory modules (CRMs), predicted by our âPhylCRMâ algorithm, in the noncoding sequences surrounding genes in a collection of gene sets. When these gene sets correspond to Gene Ontology (GO) categories, the results of Lever analysis allow the unbiased assignment of functional annotations to the regulatory motifs and also to the candidate CRMs that comprise the genomic motif occurrences. We demonstrate these methods using human myogenic differentiation as a model system, for which we statistically assessed greater than 25,000 pairings of
ORGANISM(S): Homo sapiens
SUBMITTER: Jason Warner
PROVIDER: E-GEOD-4460 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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