Improved nucleosome-positioning algorithm iNPS for accurate nucleosome positioning from sequencing data

Nature Communications

Volumn 5, Issue , 2014, Pages

  Chen, Weizhong ^a,b   Liu, Yi ^a,c   Zhu, Shanshan ^a   Green, Christopher D ^a   Wei, Gang ^a   Han, Jing Dong Jackie ^a  

^a MAX PLANCK INSTITUTE   (Germany)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; DATA SET; GENE EXPRESSION; GENETIC ALGORITHM; SIGNAL;

ALGORITHM; ARTICLE; CONTROLLED STUDY; GENETIC ASSOCIATION; NUCLEOSOME; NUCLEOSOME POSITIONING ALGORITHM; SIGNAL TRANSDUCTION; T LYMPHOCYTE ACTIVATION; BINDING SITE; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; CYTOLOGY; DNA SEQUENCE; GENOMICS; HUMAN; HUMAN GENOME; LABORATORY DIAGNOSIS; LYMPHOCYTE ACTIVATION; METABOLISM; PROCEDURES; PROMOTER REGION; T LYMPHOCYTE;

MICROCOCCAL NUCLEASE; NUCLEOSOME;

ALGORITHMS; BINDING SITES; COMPUTATIONAL BIOLOGY; FALSE POSITIVE REACTIONS; GENOME, HUMAN; GENOMICS; HUMANS; LYMPHOCYTE ACTIVATION; MICROCOCCAL NUCLEASE; NUCLEOSOMES; PROMOTER REGIONS, GENETIC; SEQUENCE ANALYSIS, DNA; SOFTWARE; T-LYMPHOCYTES;

EID: 84923282241     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms5909     Document Type: Article

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