Genomics

Dataset Information

0

Modeling gene regulation from matched expression and chromatin accessibility data


ABSTRACT: We propose a statistical method to model gene regulation by paired expression and chromatin accessibility (PECA) data, which dissects the regulatory elements (RE) of the genome by modeling their interaction with general chromatin regulators (CR) and sequence-specific transcriptional regulators (TF) and consequent effects on transcriptional changes.

ORGANISM(S): Mus musculus

PROVIDER: GSE98479 | GEO | 2017/05/03

SECONDARY ACCESSION(S): PRJNA385189

REPOSITORIES: GEO

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