16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model

GigaScience

Volumn 6, Issue 7, 2017, Pages

  Luo, Ruibang ^a,b   Schatz, Michael C ^a,b   Salzberg, Steven L ^a,b,c  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Bayesian model; Indel calling; SNP calling; Variant calling

Indexed keywords

ANIMAL; BIOLOGICAL MODEL; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HAPLOTYPE; HUMAN; PROBABILITY; PROCEDURES; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE; STANDARDS; WHOLE EXOME SEQUENCING;

ANIMALS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HAPLOTYPES; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBABILITY; SENSITIVITY AND SPECIFICITY; SOFTWARE; WHOLE EXOME SEQUENCING;

EID: 85028370314     PISSN: None     EISSN: 2047217X     Source Type: Journal    
DOI: 10.1093/gigascience/gix045     Document Type: Note

References (13)

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12. Luo R, Schatz MC, Salzberg SL. Supporting data for "16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model" GigaScience Database 2017. http://dx.doi.org/10.5524/100316
13. Luo R. 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model [Source Code]. Code Ocean 2017. http://dx.doi.org/10.24433/CO.0a812d9b-0ff3-4eb7-825f-76d3cd049a43