EMERGE: a flexible modelling framework to predict genomic regulatory elements from genomic signatures.

ABSTRACT: Regulatory DNA elements, short genomic segments that regulate gene expression, have been implicated in developmental disorders and human disease. Despite this clinical urgency, only a small fraction of the regulatory DNA repertoire has been confirmed through reporter gene assays. The overall success rate of functional validation of candidate regulatory elements is low. Moreover, the number and diversity of datasets from which putative regulatory elements can be identified is large and rapidly increasing. We generated a flexible and user-friendly tool to integrate the information from different types of genomic datasets, e.g. ATAC-seq, ChIP-seq, conservation, aiming to increase the ease and success rate of functional prediction. To this end, we developed the EMERGE program that merges all d

SUBMITTER: van Duijvenboden K 

PROVIDER: S-EPMC4797259 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature