Genome-wide identification of hypoxia-inducible factor binding sites and target genes by a probabilistic model integrating transcription-profiling data and in silico binding site prediction

Nucleic Acids Research

Volumn 38, Issue 7, 2010, Pages 2332-2345

  Ortiz Barahona, Amaya ^a   Villar, Diego ^a   Pescador, Nuria ^a   Amigo, Jorge ^b   del Peso, Luis ^a  

^a CSIC   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

HYPOXIA INDUCIBLE FACTOR 1ALPHA; MACROPHAGE MIGRATION INHIBITION FACTOR;

ARTICLE; BINDING SITE; CELL HYPOXIA; CHROMATIN IMMUNOPRECIPITATION; COMPUTER MODEL; COMPUTER PREDICTION; CONTROLLED STUDY; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENE MAPPING; GENE TARGETING; GENETIC TRANSCRIPTION; HUMAN; HUMAN CELL; MATHEMATICAL COMPUTING; PHYLOGENY; PRIORITY JOURNAL; PROBABILITY; PROTEIN FOOTPRINTING; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; CELL LINE; GENE EXPRESSION REGULATION; GENOMICS; HUMAN GENOME; META ANALYSIS; METABOLISM; METHODOLOGY; VALIDATION STUDY;

BINDING SITES; CELL HYPOXIA; CELL LINE; CHROMATIN IMMUNOPRECIPITATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOME, HUMAN; GENOMICS; HUMANS; HYPOXIA-INDUCIBLE FACTOR 1, ALPHA SUBUNIT; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 77952300971     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkp1205     Document Type: Article

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