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MAGE U+2013 Modelling of Allelic Gene Expression in health and disease. (01J00719)

Studying expression of individual alleles could learn us more about possible molecular causes of diseases such as cancer, yet existing methods are too expensive or yield only incomplete information. In this project we will develop a novel, cheaper and more comprehensive methodology, based on population genetics concepts and statistical modelling, and demonstrate its relevance in a cancer case study.

Date:1 Oct 2019  →  Today
Keywords:Transcriptomics, Population genetics, Allele-specific expression, eQTL, Statistical modelling, Imprinting, Bioinformatics, Cancer
Disciplines:Development of bioinformatics software, tools and databases, Analysis of next-generation sequence data, Computational transcriptomics and epigenomics, Cancer biology