PEPIS: A Pipeline for Estimating Epistatic Effects in Quantitative Trait Locus Mapping and Genome-Wide Association Studies

PLoS Computational Biology

Volumn 12, Issue 5, 2016, Pages

  Zhang, Wenchao ^a   Dai, Xinbin ^a   Wang, Qishan ^b   Xu, Shizhong ^c   Zhao, Patrick X ^a  

^a PLANT BIOLOGY DIVISION   (United States)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

C++ (PROGRAMMING LANGUAGE); CLUSTER COMPUTING; ESTIMATION; GENES; MATRIX ALGEBRA; POPULATION STATISTICS;

BIOLOGICAL FUNCTIONS; EPISTATIC EFFECTS; GENETIC EFFECTS; GENETIC LOCUS; GENOME-WIDE ASSOCIATION STUDIES; INTERACTION EFFECT; MAIN EFFECT; MATRIX CALCULATIONS; QUANTITATIVE TRAIT LOCI MAPPINGS; QUANTITATIVE TRAITS;

PIPELINES;

CALCULATION; COMPUTER PROGRAM; GENE FREQUENCY; GENOME-WIDE ASSOCIATION STUDY; PIPELINE; POPULATION MODEL; QUANTITATIVE TRAIT LOCUS MAPPING; STATISTICAL MODEL; VELOCITY; BIOLOGY; CHROMOSOMAL MAPPING; COMPUTER LANGUAGE; COMPUTER SIMULATION; EPISTASIS; GENETICS; HYBRIDIZATION; ORYZA; QUANTITATIVE TRAIT LOCUS; SOFTWARE; STATISTICS AND NUMERICAL DATA;

CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EPISTASIS, GENETIC; GENOME-WIDE ASSOCIATION STUDY; HYBRIDIZATION, GENETIC; LINEAR MODELS; ORYZA; PROGRAMMING LANGUAGES; QUANTITATIVE TRAIT LOCI; SOFTWARE;

EID: 84975801423     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004925     Document Type: Article

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