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- Publisher Website: 10.1093/gigascience/gix045
- Scopus: eid_2-s2.0-85028370314
- WOS: WOS:000405827800001
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Article: 16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model
Title | 16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model |
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Authors | |
Keywords | Indel calling Bayesian model SNP calling Variant calling |
Issue Date | 2017 |
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 Identifier | http://hdl.handle.net/10722/251242 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Luo, Ruibang | - |
dc.contributor.author | Schatz, Michael C. | - |
dc.contributor.author | Salzberg, Steven L. | - |
dc.date.accessioned | 2018-02-01T01:55:00Z | - |
dc.date.available | 2018-02-01T01:55:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | GigaScience, 2017, v. 6, n. 7 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | GigaScience | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Indel calling | - |
dc.subject | Bayesian model | - |
dc.subject | SNP calling | - |
dc.subject | Variant calling | - |
dc.title | 16GT: A fast and sensitive variant caller using a 16-genotype probabilistic model | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1093/gigascience/gix045 | - |
dc.identifier.scopus | eid_2-s2.0-85028370314 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 7 | - |
dc.identifier.spage | null | - |
dc.identifier.epage | null | - |
dc.identifier.eissn | 2047-217X | - |
dc.identifier.isi | WOS:000405827800001 | - |
dc.identifier.issnl | 2047-217X | - |