IASeq: Integrative analysis of allele-specificity of protein-DNA interactions in multiple ChIP-seq datasets

BMC Genomics

Volumn 13, Issue 1, 2012, Pages

  Wei, Yingying ^a   Li, Xia ^b,c   Wang, Qian fei ^b   Ji, Hongkai ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

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

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Allele specific binding; Data integration; Histone modification; Next generation sequencing; Statistical model; Transcription factor

Indexed keywords

GENOMIC DNA; PROTEIN;

ALLELE; ALLELIC IMBALANCE; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION ANALYSIS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN CELL; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; PROBABILITY; PROTEIN DNA INTERACTION; RECEIVER OPERATING CHARACTERISTIC; SEQUENCE ANALYSIS; SEQUENCE DATABASE; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; ALLELES; BASE SEQUENCE; BAYES THEOREM; CHROMATIN IMMUNOPRECIPITATION; DATA INTERPRETATION, STATISTICAL; DATA MINING; DNA; DNA-BINDING PROTEINS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HISTONES; MODELS, THEORETICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS, DNA; TRANSCRIPTION FACTORS;

EID: 84870063111     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-13-681     Document Type: Article

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