Home » Validation Principles, Practices, Parameters, Performance Evaluations, and Protocols
This workshop will discuss validation principles (the why), practices (the how), parameters (the what), performance evaluations (the when), and protocols (the so what) important to establishing the degree of reliability involved in aspects of forensic DNA mixture interpretation. Topics to be covered include a review of currently available guidance documents on validation and suggestions on how to perform, describe, and utilize validation data from all parts of the DNA interpretation pipeline including probabilistic genotyping software. Published literature on validation experiments with probabilistic genotyping software will be reviewed.
By the end of the workshop attendees will:
DNA Technical Leaders, DNA analysts, laboratory directors, QA/QC managers, attorneys, academicians, consultants and aspiring DNA analysts (students)
Pre-requisites include: Experience with forensic DNA profiling techniques and STR data interpretation. Minimal working knowledge or experience with probabilistic genotyping software would be helpful but is not required.
This workshop will discuss validation principles (the why), practices (the how), parameters (the what), performance evaluations (the when), and protocols (the so what) important to establishing the degree of reliability involved in aspects of forensic DNA mixture interpretation. Topics to be covered include a review of currently available guidance documents on validation and suggestions on how to perform, describe, and utilize validation data from all parts of the DNA interpretation pipeline including probabilistic genotyping software. Published literature on validation experiments with probabilistic genotyping software will be reviewed.
By the end of the workshop attendees will:
DNA Technical Leaders, DNA analysts, laboratory directors, QA/QC managers, attorneys, academicians, consultants and aspiring DNA analysts (students)
Pre-requisites include: Experience with forensic DNA profiling techniques and STR data interpretation. Minimal working knowledge or experience with probabilistic genotyping software would be helpful but is not required.
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