Making sense of DNA sequences (Part 2)
Mentor: Professor Pietro Cerone, Victoria University
Intern: Dr Eder Kikianty, Victoria University
Industry Partner: Dr Adam Kowalczyk, National ICT Australia
Project Duration: November 2010 to February 2011
This project pursued the development of statistical filters that can be used to detect biomarkers, e.g. DNA loci or its epigenetic modifications, reliably differentiating between various phenotypes of biomedical interest, in particular a disease variant or predisposition to develop a disease. The method focuses on analysis of data obtained by the high throughput DNA sequencing technologies (often referred to Next Generation Sequencing, NGS). The results will be applied directly to a number of diseases studied at laboratories of NICTA partners, in particular to breast cancer, leukaemia and diabetes.