Title:
Prioritizing Variants in Personal Genomes, with particular application to cancer
Abstract:
My talk will focus on prioritizing genetic variants associated with
cancer, to identify key variants driving cancer progression. First, I
will look at the overall functional impact of the variants in cancer
genomes, ranking them in terms of impact, for both coding and
non-coding regions. For the coding analysis, we use the ALoFT and
frustration tools, and for the noncoding analysis, we use FunSeq.
Then, I will look at the recurrence of variants within cancer cohorts.
Here we develop two approaches: one parametric (LARVA) and the other
non-parametric (MOAT). These both depend on background
mutation rate, which, in turn, is linked to genomic features such
as replication timing and TADs. I will discuss tools for analyzing these.
Finally, I will put all these methods together
through application to kidney and prostate cancers.
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1 comment:
Whoa, this presentation abstract at McGill University seems amazing! I'm curious to hear more about the issue during the presentation because I'm highly interested in it. It appears that the integration of empirical studies and theoretical frameworks will yield significant discoveries. eagerly anticipating it! In addition, I heartily advise anybody in need of dissertation help to visit Cheap Dissertation Writing Services Uk for excellent assistance.
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