Utilizing the Jaccard index to reveal population stratification in sequencing data: A simulation study and an application to the 1000 Genomes Project

Bioinformatics

Volumn 32, Issue 9, 2016, Pages 1366-1372

  Prokopenko, Dmitry ^a   Hecker, Julian ^a   Silverman, Edwin K ^b   Pagano, Marcello ^c   Nöthen, Markus M ^a   Dina, Christian ^d,e,f   Lange, Christoph ^b,c   Fier, Heide Loehlein ^a,c  

^a UNIVERSITY OF BONN   (Germany)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d L INSTITUT DU THORAX   (France)

^e UNIVERSITÉ DE NANTES   (France)

^f NANTES UNIVERSITY HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; COMPUTER SIMULATION; GENE FREQUENCY; GENETIC ASSOCIATION STUDY; GENETIC VARIATION; GENOME; GENOTYPE; HIGH THROUGHPUT SEQUENCING; HUMAN;

ANIMALS; COMPUTER SIMULATION; GENE FREQUENCY; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; GENOME; GENOTYPE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS;

EID: 84966320549     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv752     Document Type: Article

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