title: STRait Razor v2.0: the improved STR Allele Identification Tool--Razor.
abstract: STRait Razor (the STR Allele Identification Tool - Razor) was developed as a bioinformatic software tool to detect short tandem repeat (STR) alleles in massively parallel sequencing (MPS) raw data. The method of detection used by STRait Razor allows it to make reliable allele calls for all STR types in a manner that is similar to that of capillary electrophoresis. STRait Razor v2.0 incorporates several new features and improvements upon the original software, such as a larger default locus configuration file that increases the number of detectable loci (now including X-chromosome STRs and Amelogenin), an enhanced custom locus list generator, a novel output sorting method that highlights unique sequences for intra-repeat variation detection, and a genotyping tool that emulates traditional electropherogram data. Users also now have the option to choose whether the program detects autosomal, X-chromosome, Y-chromosome, or all STRs. Concordance testing was performed, and allele calls produced by STRait Razor v2.0 were completely consistent with those made by the original software.
authors.affiliation: Institute of Applied Genetics, Department of Molecular and Medical Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX 76107, USA.
authors.forename: David H
authors.initials: DH
authors.lastname: Warshauer
authors.affiliation: Institute of Applied Genetics, Department of Molecular and Medical Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX 76107, USA.
authors.forename: Jonathan L
authors.initials: JL
authors.lastname: King
authors.affiliation: Institute of Applied Genetics, Department of Molecular and Medical Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX 76107, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: Bruce.Budowle@unthsc.edu.
authors.forename: Bruce
authors.initials: B
authors.lastname: Budowle
mesh_terms: D000483:Alleles; D001483:Base Sequence; D041321:Chromosomes, Human, X; D004247:DNA / Q000235:genetics; D005838:Genotype; D006801:Humans; D018895:Microsatellite Repeats / Q000235:genetics*; D008969:Molecular Sequence Data
chemical_list: D004247:DNA
keywords: Bioinformatics; Massively parallel sequencing; STR; STRait Razor; Software