An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence data

Genome Research

Volumn 25, Issue 6, 2015, Pages 918-925

  Jun, Goo ^a,b   Wing, Mary Kate ^b   Abecasis, Gonçalo R ^b   Kang, Hyun Min ^b  

^a UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DNA BASE COMPOSITION; DNA EXTRACTION; DNA SEQUENCE; EXOME; GENE FREQUENCY; GENETIC VARIABILITY; HAPLOTYPE; HAPLOTYPE MAP; HUMAN; HUMAN GENOME; NATURAL SELECTION; NEXT GENERATION SEQUENCING; PRIORITY JOURNAL; QUALITY CONTROL; SENSITIVITY ANALYSIS; SEQUENCE ALIGNMENT; SUPPORT VECTOR MACHINE; BIOLOGY; GENETIC DATABASE; HIGH THROUGHPUT SEQUENCING; POPULATION GENETICS; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; EXOME; GENETICS, POPULATION; GENOME, HUMAN; HAPLOTYPES; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84931829932     PISSN: 10889051     EISSN: 15495469     Source Type: Journal    
DOI: 10.1101/gr.176552.114     Document Type: Article

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