Developing new computational tools for CRISPR genomics to advance cancer research

Developing new computational tools for CRISPR genomics to advance cancer research

Project details

CRISPR systems offer a powerful tool for engineering the genome of almost any organism. The recent advancements in CRISPR technologies have accelerated the identification of novel cancer treatments. Despite their growing importance, there is no clear guidance on statistical approaches on how to design a CRISPR experiment - especially for in vivo models.  

Since 2013 the Herold lab has developed multiple in-house CRISPR-Cas systems which have generated a large amount of data from CRISPR-Cas-mediated knockout and activation screens. Utilising this and newly generated data from ongoing experiments, the candidate will build a robust statistical suite of methods to unravel critical cancer driving and therapy resistance genes. 

This project would suit a student with a background in statistics, computer science and mathematics; and with skills or an interest in R or Python programming. 

About our research group

The Papenfuss Lab is a computational biology and bioinformatics research laboratory in the Bioinformatics Division. We apply mathematics, statistics and computational approaches to make sense of genomics data from human disease, especially related to the evolution of cancer. 

The Herold lab is based in the Blood Cells and Blood Cancer Division and interested in finding new targets for cancer therapy. New CRISPR editing tools, such as CRISPR activation and base editing, are currently being developed in our team as novel screening tools. 


Email supervisors



Professor Tony Papenfuss

Tony Papenfuss
Laboratory Head; Leader, Computational Biology Theme
Dr Goknur Giner
Bioinformatics division

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