Ohio State University
Funded under award 2019-DU-BX-0040
University of North Texas Health Science Center at Fort Worth
Funded under award 2020-DQ-BX-0018
Software for analyzing Y-STR haplotypes, primarily haplotype comparison and kinship analysis, with three major functions:
- Y-STR haplotype comparisons (i.e., 1:1, 1:N, and N:N comparisons)
- Pedigree likelihood ratio for kinship analysis with Y-STR profiles,
- Draw mismatch distributions to decide a threshold for determining if two profiles are from the same lineage or not
Rutgers University – Camden
Funded under award 2011-DN-BX-K558
Rutgers University – Camden
Funded under awards 2012-DN-BX-K050, 2011-DN-BX-K558
University of North Texas Health Science Center at Fort Worth
Funded under award 2018-DU-BX-0177
Des Moines University
Funded under award 2018-DU-BX-0229
Florida International University
Funded under award 2018-DU-BX-0194
Clemson University
Funded under NIJ award 2020-DQ-BX-0025
Funded under NIJ awards 2020-DQ-BX-0007 and 15PNIJ-22-GG-04434-MUMU
Funded under NIJ award 15PNIJ-21-GG-04171-COAP.
Purdue University
Funded under award 2020-DQ-BX-0008
National Center for Forensic Science, University of Central Florida
National Center for Forensic Science, University of Central Florida
Technical Working Group for Fire and Explosives
Technical Working Group for Fire and Explosives
Access on github
The Sexual Assault Lubricant Database is a compilation of reference lubricants, characterization data, instrumental data and classification models that assist forensic scientists to conduct lubricant analysis in sexual assault cases. This database includes various types of lubricants that can be used to facilitate a sexual assault.
This database is intended to be a reference and resource for the forensic lubricant community to provide a methodology of analyzing and classifying unknown lubricants collected in sexual assault kits
Funded under NIJ award 2015-DN-BX-K409
Funded under NIJ award 2015-DN-BX-K409
North Carolina State University
Works with any platform supporting Java.
National Institute of Standards and Technology
Funded through interagency agreement DJO-NIJ-17-RO-0202 between NIJ and NIST.
Trace Evidence Collection Mobile App
Notes:
– This app was not sponsored by NIJ but does present NIJ-funded research.
– Some parts of the app are specific to California law.
Available for Droid devices, iPhones/iPads and mobile web.
Available for Windows operating system.
Center for Security and Crime Science at Temple University
Available for Windows operating system.
Eastern Kentucky University
Available for Windows operating system.
Available for Windows, Mac and Unix operating systems.
Available for Windows, Mac and Unix operating systems.
Available for Windows operating system.
Grant 2018-75-cx-0023
Occupational Research Associates
Sexual Assault Kit Best Practice Mobile App
Forensic Technology Center of Excellence
Funded under NIJ award 2016-MU-BX-K110
Terrorism Research Center, University of Arkansas
Funded under NIJ award 2018-ZA-CX-0003
National Consortium for the Study of Terrorism and Responses to Terrorism, University of Maryland
Funded under NIJ award 2019-ZA-CX-0004