PEMapper and PECaller provide a simplified approach to whole-genome sequencing

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 10, 2017, Pages E1923-E1932

  Johnston, H Richard ^a,b   Chopra, Pankaj ^a   Wingo, Thomas S ^a,c   Patel, Viren ^a   Epstein, Michael P ^a   Mulle, Jennifer G ^a,b   Warren, Stephen T ^a   Zwick, Michael E ^a   Cutler, David J ^a  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b EMORY UNIVERSITY   (United States)

^c ATLANTA VA MEDICAL CENTER   (United States)

Author keywords

GATK; Genome sequencing; Sequence mapping; SNP calling; Software

Indexed keywords

ARTICLE; GENE MAPPING; GENE SEQUENCE; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; WHOLE GENOME SEQUENCING; ALGORITHM; BIOLOGY; GENETIC DATABASE; GENETICS; HUMAN; HUMAN GENOME; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENOME, HUMAN; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE; WHOLE GENOME SEQUENCING;

EID: 85014598197     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1618065114     Document Type: Article

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