PhD Defense by Søren B. Vilsen
12.12.2018 kl. 14.00 - 17.00
Statistical Modelling of Massively Parallel Sequencing Data in Forensic Genetics
DNA profiling has become an essential part of the modern judicial system. If the DNA sample is of high quantity and contains DNA from a single contributor, analysis of the sample is trivial. However, DNA recovered at a crime scene is often found in low quantity, is partly degraded, contains DNA from more than one contributor or some combination thereof. When the sample contains DNA from more than one contributor, it is referred to as a DNA mixture. DNA profiles are currently mainly created by examining the length of short tandem repeat (STR) regions by capillary electrophoresis (CE). The analysis and interpretation of such profiles is a mature and on-going field of research. In recent years, massively parallel sequencing (MPS) has been introduced in forensic genetics. MPS offers the DNA base composition of the STR regions, i.e. it offers a higher resolution than that of CE. Therefore, DNA profiles obtained using MPS will offer higher discriminatory powers than those obtained with CE. It follows that developing an expert system utilizing MPS is of great interest. The aim of thesis is to lay the foundation for duch a system.
Professor Rasmus Plenge Waagepetersen, AAU
Professor James Michael Curran, Department of Statistics, University of Auckland
Associate Professor Walther Parson, Institute of Legal Medicine, University Innsbruck
Professor Rasmus Waagepetersen
Lektor Poul Svante Eriksen og Torben Tvedebrink, Aalborg Universitet
Efter forelæsningen er Institut for Matematiske Fag vært ved en reception, der foregår i kaffestuen (lokale 5.123) på Skjernvej 4A.
Institut for Matematiske Fag
Skjernvej 4A, rum 5.034
07.12.2018 kl. 12.00