Probabilistic Genotyping Software and Output (Webinar)

Over a dozen probabilistic genotyping software programs are commercially available or accessible as freeware. This module presents an instructive overview by software developers of three programs that are supported by published developmental validation. Instructors will impart the inner workings of the software with the goal of facilitating understanding of the computing approach and other features, parameter settings, mathematical and population genetic components of the likelihood ratio calculation, and the means of addressing allelic variance, artifacts, peak sharing, allele dropout and drop-in, DNA degradation, inhibition and other profile features. The programs will be demonstrated, and output files will be explained along with any diagnostic tools to aid in the analysis of output data.

Detailed learning objectives:
- Describe the features and capabilities of different probabilistic genotyping software programs and their data input requirements
- Evaluate output data in the context of a case scenario
- Articulate difference in the programs that impact the likelihood ratio
- Relay information about the functions, merits, and limitations of each program

Presenters:
- Dr. Michael Coble - Center for Human Identification at the University of North Texas Health Science Center in Fort Worth, Texas
- Dr. Mark Perlin - Chief Scientific and Executive Officer at Cybergenetics
- Dr. Jo-Anne Bright - Senior Science Leader at the Institute of Environmental Science and Research Limited (ESR) New Zealand
- Dr. Peter Gill - University of Oslo, Oslo, Norway

Funding for this Forensic Technology Center of Excellence event has been provided by the National Institute of Justice.