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                            Events
 Validation and Tutorial of NOCIt for Determining the Number of Contributors Event Dates
              July 14, 2020, 1:00 pm
 – 2:00 pm
Event Duration
              1 hour
Location
              online

Register

Forensic DNA signal is notoriously challenging to interpret and requires the implementation of computational tools that support its interpretation. While data from high-copy, low-contributor samples result in an electropherogram signal that is readily interpreted by probabilistic methods, electropherogram signals from forensic stains are often garnered from low-copy, high-contributor-number samples. These samples can be obfuscated by allele sharing, allele drop-out, stutter, and noise peaks. Since forensic DNA profiles are too complicated to quantitatively assess by manual methods, continuous probabilistic frameworks that draw inferences on the Number of Contributors (NOC) and compute the Likelihood Ratio (LR) given the prosecution and defense’s hypotheses have been developed.

In this webinar, the presenter will show validation results acquired from the newest version of the NOCIt inference platform, which determines an A Posteriori Probability (APP) distribution of the number of contributors given an electropherogram. NOCIt is a continuous inference system that incorporates models of peak height (including degradation and differential degradation), forward and reverse stutter, noise, and allelic drop-out while considering allele frequencies in a reference population.
View Full Event Page
  
  
          Details
Event Type
              Webinar
    Event Option(s)
          Online,
                        On demand

Sponsor(s) / Host(s)

National Institute of Justice (NIJ), U.S. Department of Justice;Forensic Technology Center of Excellence
    Contact
          NIJ Forensic Technology Center of Excellence

  Link
              If you have questions about this course, contact the FTCoE

  Registration Dates
              June 8, 2020 - July 14, 2020

  Registration Status
              Open

  Eligibility
              Free and open to all

  Credits
              Certificate of completion
    
  
Read more about
    
            DNA (Deoxyribonucleic Acid)
        Forensic sciences
        Statistical analysis
        Evidence analysis
        Evidence analysis and processing
        Forensic validation
        Forensic Technology Center of Excellence
  
Date Created: June 8, 2020
    
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