The Computational Genomics and Trancriptomics Group is headed by Dr. Olga Tsoy.

The group is a part of the Chair of Computational Systems Biology at the University of Hamburg.

We study mechanisms of disease development based on genomics and transcriptomics data analysis, with emphasis on the role of alternative splicing. In particular, we are interested how alternative splicing rewires interaction networks in a tissue- and condition-specific manner.

We develop tools for alternative splicing-aware data analysis and evaluate existing approaches.

Software Tools

NEASE

Splicing-aware enrichment tool

DIGGER

DIGGER

Analyze protein-protein and domain-domain interactions in a joint graph.

ASimulatoR

ASimulatoR

A simulator for RNA-seq data with alternative splicing events written in R.

For students

Bachelor / Master thesis projects

If you are interested, contact me: olga.tsoy@uni-hamburg.de.

Projects

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Sys_CARE
Sys_CARE is a BMBF-funded collaborative research project to elucidate the role of alternative splicing in cardiac and renal diseases using systems medicine approaches and molecular big data.
Sys_CARE

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