PT - JOURNAL ARTICLE AU - Luo, Ruibang AU - Schatz, Michael C. AU - Salzberg, Steven L. TI - 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model AID - 10.1101/111393 DP - 2017 Jan 01 TA - bioRxiv PG - 111393 4099 - http://biorxiv.org/content/early/2017/02/24/111393.short 4100 - http://biorxiv.org/content/early/2017/02/24/111393.full AB - Summary 16GT is a variant caller for Illumina WGS and WES germline data. It uses a new 16-genotype probabilistic model to unify SNP and indel calling in a single variant calling algorithm. In benchmark comparisons with five other widely used variant callers on a modern 36-core server, 16GT ran faster and demonstrated improved sensitivity in calling SNPs, and it provided comparable sensitivity and accuracy in calling indels as compared to the GATK HaplotypeCaller.Availability and implementation https://github.com/aquaskyline/16GTContact rluo5{at}jhu.eduSupplementary information Supplementary tables and notes are available at Bioinformatics online.