Accessing Multi-omics Data for the Purposes of Tumour Profiling – Aashil A. Batavia


Aashil A. Batavia

Aashil Batavia received his undergraduate degree from the University of Manchester obtaining a B.Sc. in Biomedical Sciences in 2014. During his dissertation, he implemented in silico experimental evolution to gain insights into the relationship between mutation rate plasticity, evolvability and robustness; exposing him to computational approaches for biomedical research for the first time. In 2015, he elected to return to the University of Manchester where he obtained an M.Sc in Bioinformatics and Systems Biology. Here he completed two research projects, one of which assessed the impact of human variants on the structure and function of Prpf8; mutations in which have been shown to cause retinitis pigmentosa. This work paved the way for his move to Switzerland in 2017 where he would begin his PhD at the Institute of Pathology and Molecular Pathology, USZ and the Department of Biosystems Science and Engineering, ETH Zurich. With a foot in both the computational and experimental worlds, his current work is focused on the multi-omics assessment of a rare form of renal cell carcinoma termed wild-type von Hippel-Lindau (wtVHL) clear cell renal cell carcinoma.


Cancers are a very complex and heterogeneous set of diseases and therefore, cancer research is by no means trivial. The greater our understanding of the molecular landscape of a particular tumour type the better equipped we will become to combat its growth and spread. Publicly available multi-omic datasets provide a valuable resource to further this understanding. These data sets are commonly used for the identification of novel areas of study, the validation of results and the benchmarking/assessment of novel statistical methods. The Cancer Genome Atlas (TCGA) provides one such dataset with its repository consisting of 11,000 patients across 33 cancer types. This rich resource assists research on both a tumour specific and pan-cancer setting. In this webinar, I will introduce the various ways of accessing The Cancer Genome Atlas repository, navigating the multiple data types available and the tools I use for the multi-omics assessment (single and integrated) of my tumours of interest; renal cell carcinomas.

Date: May 5th, 2020 – 3:00 pm (GMT+3)

Language: English

To register the webinar, you can visit this link:

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