کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6462775 | 1422149 | 2017 | 8 صفحه PDF | دانلود رایگان |
- Perl script has been modified to report reverse complement sequence to facilitate merger of read strands.
- Configuration files have been generated for all commercially available MPS multiplexes.
- Preloaded database of â¼2500 haplotypes allows easy conversion of string to ISFG-recommended comprehensive nomenclature.
- STRait Razor Profile Viewer allows all loci to be viewed simultaneously for better mixture evaluation.
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 â¼2500 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-genetics/laboratory-faculty-and-staff/strait-razor.
Journal: Forensic Science International: Genetics - Volume 29, July 2017, Pages 21-28