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Shoa L. Clarke

Researcher at Stanford University

Publications - Ā 44
Citations - Ā 4396

Shoa L. Clarke is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 8, co-authored 21 publications receiving 3371 citations. Previous affiliations of Shoa L. Clarke include VA Palo Alto Healthcare System.

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GREAT improves functional interpretation of cis-regulatory regions

TL;DR: The Genomic Regions Enrichment of Annotations Tool (GREAT) is developed to analyze the functional significance of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome.
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Coding exons function as tissue-specific enhancers of nearby genes

TL;DR: It is demonstrated that DNA sequences can have a dual function, operating as coding exons in one tissue and enhancers of nearby gene(s) in another tissue, suggesting that phenotypes resulting from coding mutations could be caused not only by protein alteration but also by disrupting the regulation of another gene.
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Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

TL;DR: A genome-wide association study of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program as mentioned in this paper .
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Human developmental enhancers conserved between deuterostomes and protostomes.

TL;DR: Bicores are developmental enhancers that drive expression of transcriptional repressors in the vertebrate central nervous system and are predicted that Bicores act as response elements to signaling pathways, and are shown to show conservation of sequence and gene synteny.
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PRISM offers a comprehensive genomic approach to transcription factor function prediction

TL;DR: A comprehensive computational framework for transcription factor function prediction is proposed, which curates 332 high-quality nonredundant TF binding motifs that represent all major DNA binding domains, and improves cross-species conserved binding site prediction to obtain 3.3 million conserved, mostly distal, binding site predictions.