Unlocking hidden cancer drivers using transcriptome data

Grant number: 1140626 | Funding period: 2019 - 2021

Completed

Abstract

New sequencing technologies allow us to get an unbiased look at the molecular signalling in a tumour. However this information is very complex and need specialised methods in statistic and computation in order to make new discoveries. Here will will develop analysis methods to find novel transcriptional variants in cancer and then test them in the lab in order to understand if our discoveries are responsible for causing cancer.

Related publications (13)

University of Melbourne Researchers