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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Software solutions like GeneMapper ID-X, STRait Razor, and HipSTR include peak-height ratios, heterozygosity thresholds, and ladder alignment checks to minimize false calls.
“While software solutions like GeneMapper® ID-X [41], STRait Razor [42], and the open-source Haplotype inference and phasing for STRs (HipSTR) [43] include peak-height ratios, heterozygosity thresholds, and ladder alignment checks to minimize false calls, expert review remains crucial [44].”
From Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review (2026) · cites this paper as [42]
Cited by
Sorted by citations
Characterization of genetic sequence variation of 58 STR loci in four major population groups
Novroski, N. M. M., King, J. L., Churchill, J. D., Seah, L. H., & Budowle, B. (2016) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2016.09.007 · Cited by 157 · see citing works
Self-citationGenetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review
Weiskirchen, R. (2026) · Medical Sciences · doi:10.3390/medsci14010025 · Cited by 4 · see citing works
- Authors
- Warshauer, D. H., King, J. L., & Budowle, B.
- Affiliations
- University of North Texas Health Science Center (US)
- Corresponding author
- Budowle, Bruce
- Venue
- Forensic Science International: Genetics
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 14
- Pages
- 182-186
- ISSN
- 1872-4973 (ISSN-L)
- OpenAlex
- W2066614297
- Cited by
- 60
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2021: 5 · 2020: 2 · 2019: 8 · 2018: 8 · 2017: 15 · 2016: 10 · 2015: 7
- FWCI
- 6.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Forensic Science International Genetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice (2012-DN-BXK033)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- microsatellite markers, next-generation sequencing, amelogenin, genotyping, forensic genetics, allele calling
- MeSH terms
- Alleles, Base Sequence, DNA, Genotype, Humans, Molecular Sequence Data, Microsatellite Repeats, Chromosomes, Human, X
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review