Dr Nic Waddell: Nic.Waddell@qimrberghofer.edu.au
Cancer causes 1 in 8 deaths worldwide. Cancer genomic data is paving the way for precision medicine, whereby treatment is guided by the mutation profile of the patient’s tumour. Our group uses bioinformatic approaches to analyse large genome and RNA sequence datasets generated from tumor tissues and matched germline samples. The data has helped to redefine the genomic, transcriptomic and methylation landscape of cancers and allows the identification of driver genes. To date most cancer genome studies have focused their attention on the protein coding region of the genome, which represent less than 2% of the genome. In contrast the mutations within non-coding regions (including long non-coding RNAs or regulatory regions) or within the mitochondrial genome have been underexplored.
This project will analyze a variety of whole genome and RNAseq datasets with the aim to better characterize non protein coding mutations and mitochondrial mutations in a variety of cancer types. Some of the things this project will look at include: i) identify regions of the non-protein coding genome which are frequently mutated in certain cancer types, ii) develop process to annotate and curate these somatic mutations, iii) analyze the somatic mutations that occur in the mitochondrial genomes. This project will provide novel insights into tumour development and provide a better understanding of the somatic mutations across the genome.
The project is a dry lab project (computational) and will suit an individual with experience in bioinformatics. The successful applicant will be part of a team of bioinformaticians and will work closely with postdoctoral researchers in the lab.
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