Next-generation sequencing (NGS) has transformed and improved our investigation of genomic profiles such as copy number alteration (CNA). However, there are many steps need to be taken to make sense the information contained in the sequence data. It starts from the moment we obtain mapped sequence data to the use of the data for clinical subtyping or identification of important genomic regions. In each and every steps involved, statistical modelling and analysis are needed to address those challenges. In this talk, I will discuss and present the challenges and the statistical methods to address those challenges. This includes segmentation and normalisation to estimate CNA, modelling strategies based on CNA profile, and developing new statistical test per genomic region. This is joint work with Henry Wood, Stefano Berri, Pamela Rabbitts, Khaled Alqahtani, Alison Telford, and Charles Taylor.
How to participate in this seminar:
1. Book your nearest ACE facility;
2. Notify the seminar convenor at La Trobe University (Andriy Olenko) to notify you will be participating.
No access to an ACE facility? Contact Maaike Wienk to arrange a temporary Visimeet licence for remote access (limited number of licences available – first come first serve)