Graduate School of Biomedical Sciences

STRait Razor

Laboratory Faculty & Staff | R&D Lab Publications | Excel Workbooks | mitoSAVE | STRait Razor |Visiting Scientists | Notable Former Students

 

Straitrazor 30pxpaddingdna

Welcome to the official home of STRait Razor — the STR Allele Identification Tool!  The current stable version of this program is v3. The complete v3 package can be found below, in .zip format. Updates to this program will be posted to this page as they are created.


Social Media

Follow us on:

 

Twitter            Facebook            Instagram V051916 S

 

 

 


DOWNLOAD:

 

STRait Razor Online

 

Released in the winter of 2020, STRait Razor Online (SRO) expands the functionality of STRait Razor with improved data visualization for secondary analysis and interpretation. SRO is available via web application (https://www.unthsc.edu/straitrazor) as well as a standalone executable (currently only available via email access*) and R scripts found at the github link below. For more details regarding the functionality of STRait Razor Online, as well as the program and all source code, please see the Github page in the link below.

Github Link

 

STRait Razor Online Executable Access

 


How to cite:

J.L. King, A.E. Woerner, S.N. Mandape, K.B. Kapema, R.S. Moura-Neto, R. Silva, B. Budowle, STRait Razor Online: An enhanced user interface to facilitate interpretation of MPS data, Forensic Science International: Genetics (2021).


 

STRait Razor v3

 

Released in the summer of 2017, STRait Razor v3 expands the functionality of STRait Razor into Windows platforms via a portable compiled language, C++. This redesign of STRait Razor also applies a novel indexing strategy for the approximate “fuzzy” matching necessary to match anchor sequences. Thus, version 3 of STRait Razor reduces time to analysis and expands the potential user base on additional platforms. More details regarding the functionality of STRait Razor v3, as well as the program and all source code, please see the Github page in the link below.

Github Link


How to cite:

A. E. Woerner, J. L. King, B. Budowle, Fast STR allele identification with STRait Razor 3.0, Forensic Sci Int Genet. 30 (2017) 18-23.