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We are dedicated to designing efficient genome data compression algorithms and developing related tools to address the challenges of large-scale genome data storage and transmission. Our goal is to reduce data storage costs and improve data processing efficiency through advanced technology, thereby advancing genomic research.

GenX implements Confidential Computing technologies for privacy-preserving multi-party genomic and medical data analysis.

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An Interpretable Graph-Regularized Optimal Transport Framework for Diagonal Single-Cell Integrative Analysis

The overarching theme of the research in our group is the understanding of the information encoded in genomic sequences, and how this information is processed in the pathway leading from DNA to protein sequences. We are intrigued by the parallelism between computation and the processing of information encoded in biological sequences. The bulk of ouf research currently focuses on the mechanisms underlying RNA production (transcription) and post-processing (splicing), and it is increasingly ...

Department of Molecular NeuroscienceCenter for Brain ResearchMedical University of Vienna