Literature DB >> 25450790

STRait Razor v2.0: the improved STR Allele Identification Tool--Razor.

David H Warshauer1, Jonathan L King1, Bruce Budowle2.   

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.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Massively parallel sequencing; STR; STRait Razor; Software

Mesh:

Substances:

Year:  2014        PMID: 25450790     DOI: 10.1016/j.fsigen.2014.10.011

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  11 in total

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4.  Effects of the Ion PGM™ Hi-Q™ sequencing chemistry on sequence data quality.

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7.  Sequence-based U.S. population data for 27 autosomal STR loci.

Authors:  Katherine Butler Gettings; Lisa A Borsuk; Carolyn R Steffen; Kevin M Kiesler; Peter M Vallone
Journal:  Forensic Sci Int Genet       Date:  2018-07-19       Impact factor: 4.882

8.  Sequence variation of 22 autosomal STR loci detected by next generation sequencing.

Authors:  Katherine Butler Gettings; Kevin M Kiesler; Seth A Faith; Elizabeth Montano; Christine H Baker; Brian A Young; Richard A Guerrieri; Peter M Vallone
Journal:  Forensic Sci Int Genet       Date:  2015-12-01       Impact factor: 4.882

9.  Blind study evaluation illustrates utility of the Ion PGM™ system for use in human identity DNA typing.

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10.  Novel Y-chromosome Short Tandem Repeat Variants Detected Through the Use of Massively Parallel Sequencing.

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