Computational Identification of Active Enhancers in Model Organisms

Genomics, Proteomics and Bioinformatics

Volumn 11, Issue 3, 2013, Pages 142-150

  Wang, Chengqi ^a   Zhang, Michael Q ^b,c   Zhang, Zhihua ^a  

^a Chinese Academy of Sciences and China National Center for Bioinformation   (China)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Active enhancer recognition; Enhancer identification; Histone modification mark; Transcription factor

Indexed keywords

CIS ACTING ELEMENT; DNA; HISTONE H3; LYSINE; TRANSCRIPTION FACTOR; UNTRANSLATED RNA;

ANALYTIC METHOD; BAYESIAN LEARNING; BINDING SITE; CHROMATIN IMMUNOPRECIPITATION; COMPARATIVE GENOMIC HYBRIDIZATION; COMPUTATIONAL FLUID DYNAMICS; DISCRIMINANT ANALYSIS; DNA BINDING; DNA METHYLATION; DNA SEQUENCE; DROSOPHILA; ENHANCER REGION; EPIGENETICS; GENE LOCUS; GENE SEQUENCE; HISTONE METHYLATION; HISTONE MODIFICATION; MOLECULAR RECOGNITION; NONHUMAN; PREDICTION; PROBABILITY; PROTEIN BINDING; REGULATORY DNA SEQUENCE; REVIEW;

ANIMALS; COMPUTATIONAL BIOLOGY; ENHANCER ELEMENTS, GENETIC; EPIGENESIS, GENETIC; GENE REGULATORY NETWORKS; GENOME; GENOMICS; HUMANS; MODELS, GENETIC; PROTEIN BINDING; SPECIES SPECIFICITY; TRANSCRIPTION FACTORS; TRANSCRIPTION, GENETIC;

EID: 84879783381     PISSN: 16720229     EISSN: 22103244     Source Type: Journal    
DOI: 10.1016/j.gpb.2013.04.002     Document Type: Review

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