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

Title16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model
Authors
KeywordsIndel calling
Bayesian model
SNP calling
Variant calling
Issue Date2017
Citation
GigaScience, 2017, v. 6, n. 7 How to Cite?
Abstract© The Author 2017. Published by Oxford University Press. 16GT is a variant caller for Illumina whole-genome and whole-exome sequencing data. It uses a new 16-genotype probabilistic model to unify single nucleotide polymorphism and insertion and deletion calling in a single variant calling algorithm. In benchmark comparisons with 5 other widely used variant callers on a modern 36-core server, 16GT demonstrated improved sensitivity in calling single nucleotide polymorphisms, and it provided comparable sensitivity and accuracy for calling insertions and deletions as compared to the GATK HaplotypeCaller. 16GT is available at https://github.com/aquaskyline/16GT.
Persistent Identifierhttp://hdl.handle.net/10722/251242
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLuo, Ruibang-
dc.contributor.authorSchatz, Michael C.-
dc.contributor.authorSalzberg, Steven L.-
dc.date.accessioned2018-02-01T01:55:00Z-
dc.date.available2018-02-01T01:55:00Z-
dc.date.issued2017-
dc.identifier.citationGigaScience, 2017, v. 6, n. 7-
dc.identifier.urihttp://hdl.handle.net/10722/251242-
dc.description.abstract© The Author 2017. Published by Oxford University Press. 16GT is a variant caller for Illumina whole-genome and whole-exome sequencing data. It uses a new 16-genotype probabilistic model to unify single nucleotide polymorphism and insertion and deletion calling in a single variant calling algorithm. In benchmark comparisons with 5 other widely used variant callers on a modern 36-core server, 16GT demonstrated improved sensitivity in calling single nucleotide polymorphisms, and it provided comparable sensitivity and accuracy for calling insertions and deletions as compared to the GATK HaplotypeCaller. 16GT is available at https://github.com/aquaskyline/16GT.-
dc.languageeng-
dc.relation.ispartofGigaScience-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectIndel calling-
dc.subjectBayesian model-
dc.subjectSNP calling-
dc.subjectVariant calling-
dc.title16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1093/gigascience/gix045-
dc.identifier.scopuseid_2-s2.0-85028370314-
dc.identifier.volume6-
dc.identifier.issue7-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.eissn2047-217X-
dc.identifier.isiWOS:000405827800001-
dc.identifier.issnl2047-217X-

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