Probabilistic partitioning methods to find significant patterns in ChIP-Seq data

Bioinformatics

Volumn 30, Issue 17, 2014, Pages 2406-2413

  Nair, Nishanth Ulhas ^a   Kumar, Sunil ^b   Moret, Bernard M E ^a,c   Bucher, Philipp ^b,c  

^a Laboratory for Computational Biology and Bioinformatics School of Computer and Communication Sciences   (Germany)

^b EPFL   (Switzerland)

^c SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

HISTONE; NUCLEOSOME;

ALGORITHM; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; DNA SEQUENCE; HIGH THROUGHPUT SEQUENCING; HUMAN; METABOLISM; NUCLEOSOME; PROBABILITY; PROCEDURES; PROMOTER REGION;

ALGORITHMS; CHROMATIN IMMUNOPRECIPITATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HISTONES; HUMANS; NUCLEOSOMES; PROBABILITY; PROMOTER REGIONS, GENETIC; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84907033614     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu318     Document Type: Conference Paper

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