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Deep learning reveals evolutionary conservation and divergence of sequence properties underlying gene regulatory enhancers across mammals

2017-02-21

Abstract excerpt

In mammals, genomic regions with enhancer activity turnover rapidly; in contrast, gene expression patterns and transcription factor binding preferences are largely conserved. Based on this conservation, we hypothesized that enhancers active in different mammals would exhibit conserved sequence patterns in spite of their different genomic locations. We tested this hypothesis by quantifying the conservation of seque...

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Literature Corpus work
efd81d82-0dfa-5888-8eac-80c48f5ebeb6
DOI
10.1101/110676
Open publication

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Deep learning reveals evolutionary conservation and divergence of sequence properties underlying gene regulatory enhancers across mammalsDOI 10.1101/110676
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