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.
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