TIC Seminar - Detecting Mutations with Short-Read Sequencing

Reed A. Cartwright, Arizona State University, USA

Studying the process of de novo mutation from deep-sequencing of related samples is a difficult task. Because de novos are rare, artifacts generated by experimental and biological error tend to be more common than true positives. While de novos can be identified through validation, this is a slow process. In order to estimate mutation rates on large datasets in an automated way, we need to develop new probabilistic models that can handle sources of false positives.
In this talk I will be discussing new computational methods to detect de novo mutations and their application to three different systems: human trios, ciliate mutation accumulation experiments, and yellow box eucalyptus.

Bioinformatic Drop-In

EBL Meeting Room, RN Robertson Building (#46)
2.30pm to 3.30pm


Date & time

3.30–4.30pm 15 July 2016


Slatyer Seminar Room, RN Robertson Building 46, ANU


 Marcin Adamski

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