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

Spycone

Spycone

Splicing-aware time-series data analysis

NEASE

Splicing-aware enrichment tool

DICAST

DICAST

A modular and extensible framework for the analysis of alternative splicing

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.

Recent Publications

Lena Hackl, Amit Fenn, Zakaria Louadi, Jan Baumbach, Tim Kacprowski, Markus List, Olga Tsoy (2023). Alternative splicing impacts microRNA regulation within coding regions. bioRxiv.

Project DOI

Chit Tong Lio, Gordon Grabert, Zakaria Louadi, Amit Fenn, Jan Baumbach, Tim Kacprowski, Markus List, Olga Tsoy (2023). Systematic analysis of alternative splicing in time course data using Spycone. Bioinformatics.

Project DOI

See all publications

Join us

Join us

Bachelor / Master thesis projects

If you are interested in bachelor or master thesis projects, contact me: olga.tsoy@uni-hamburg.de.

Projects

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PoSyMed
PoSyMed is a BMBF-funded collaborative research project on mechanotyping of complex diseases (brain aging) using machine learning approaches and clinical data.
PoSyMed
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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