Center of Excellence In Genomic Medicine Research | Researches | STRait Razor v2s: Advancing sequence-based STR allele reporting and beyond to other marker systems

Center of Excellence In Genomic Medicine Research

Document Details

Document Type	:	Article In Journal
Document Title	:	STRait Razor v2s: Advancing sequence-based STR allele reporting and beyond to other marker systems STRait Razor v2s: Advancing sequence-based STR allele reporting and beyond to other marker systems
Document Language	:	English
Abstract	:	STRait Razor has provided the forensic community a free-to-use, open-source tool for short tandem repeat (STR) analysis of massively parallel sequencing (MPS) data. STRait Razor v2s (SRv2s) allows users to capture physically phased haplotypes within the full amplicon of both commercial (ForenSeq) and “early access” panels (PowerSeq, Mixture ID). STRait Razor v2s may be run in batch mode to facilitate population-level analysis and is supported by all Unix distributions (including MAC OS). Data are reported in tables in string (haplotype), length-based (e.g., vWA allele 14), and International Society of Forensic Genetics (ISFG)-recommended (vWA [CE 14]-GRCh38-chr12:5983950-5984049 (TAGA)10 (CAGA)3 TAGA) formats. STRait Razor v2s currently contains a database of 2500 unique sequences. This database is used by SRv2s to match strings to the appropriate allele in ISFG-recommended format. In addition to STRs, SRv2s has configuration files necessary to capture and report haplotypes from all marker types included in these multiplexes (e.g., SNPs, InDels, and microhaplotypes). To facilitate mixture interpretation, data may be displayed from all markers in a format similar to that of electropherograms displayed by traditional forensic software. The download package for SRv2s may be found at https://www.unthsc.edu/graduate-school-of-biomedical-sciences/molecular-and-medical-ge- netics/laboratory-faculty-and-staff/strait-razor.
ISSN	:	1872-4973
Journal Name	:	Forensic Science International: Genetics
Volume	:	29
Issue Number	:	1
Publishing Year	:	1438 AH 2017 AD
Article Type	:	Article
Added Date	:	Thursday, June 1, 2017

Researchers

Researcher Name (Arabic)	Researcher Name (English)	Researcher Type	Dr Grade	Email
King Jonathan L	Jonathan L, King	Investigator	Doctorate
Wendt Frank R	Frank R, Wendt	Researcher	Doctorate
Sun Jie	Jie, Sun	Researcher	Doctorate
Budowle Bruce	Bruce, Budowle	Researcher	Doctorate

Files

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40840.pdf	pdf

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