easyGWAS: A cloud-based platform for comparing the results of genome-wide association studies

Plant Cell

Volumn 29, Issue 1, 2017, Pages 5-19

  Grimm, Dominik G ^a,b,c,d   Roqueiro, Damian ^c,d   Salomé, Patrice A ^e,f   Kleeberger, Stefan ^a   Greshake, Bastian ^a,g   Zhu, Wangsheng ^e   Liu, Chang ^b,e   Lippert, Christoph ^a,h   Stegle, Oliver ^a,i   Schölkopf, Bernhard ^a   Weigel, Detlef ^e   Borgwardt, Karsten M ^a,b,c,d  

^a MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c ETH ZURICH   (Switzerland)

^d SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^e MAX PLANCK INSTITUTE FOR DEVELOPMENTAL BIOLOGY   (Germany)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g GOETHE UNIVERSITY   (Germany)

^h Human Longevity Inc   (United States)

ⁱ EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARABIDOPSIS; BIOLOGY; COMPUTER INTERFACE; FLOWER; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; GROWTH, DEVELOPMENT AND AGING; HUMAN; PHENOTYPE; PLANT GENOME; PROCEDURES; REPRODUCIBILITY; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

ARABIDOPSIS; COMPUTATIONAL BIOLOGY; FLOWERS; GENOME, PLANT; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; REPRODUCIBILITY OF RESULTS; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 85012110543     PISSN: 10404651     EISSN: 1532298X     Source Type: Journal    
DOI: 10.1105/tpc.16.00551     Document Type: Article

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