ZURUECK HOCH VOR INHALT SUCHEN

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Proposing Institution

Informatik 12 - Professur für Computational Biology ,TUM
Project Manager

Christian Mertes
Boltzmannstr. 3
85748 Garching
Abstract
The control of gene expression, i.e. how much of a gene product is available in the cell, is essential to cell biology. However, despite decades of research on gene regulation, no computational model is able to predict gene expression levels in a given cell type from genomic sequence. Consequently, most of the variants associated with common diseases, which are non-coding, cannot be interpreted.In this study we are extending CONCISE, which was developed in our group, to HPC computing (HPC-CONCISE). With HPC-CONCISE we will be capable to model large number of RNA-seq datasets in human (eg. GTEx). Furthermore, by using SuperMUC, we can fit bigger and more complex models based on the sequencing data. This will enable us to better understand the regulation of gene expression by single variants in cis and trans. This knowledge then can be used to interpret the impact of non-coding variants in rare and common diseases.

Impressum, Conny Wendler