• Algorithms for genomics data compression

    Data transmission is one of the major bottlenecks in data management. We seek to contribute to the development of new algorithms of genomics data compression with good compression efficiency, but also to allow genomics data search and analysis to be performed in the compressed form.

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  • Cancer genomics

    Our main interest and activity around Cancer Genomics is to identify somatic genomic variations (mutations) that are responsible for the development and progression of tumours. For this, we generate and apply different bioinformatic methodologies. 

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  • Genetics of Complex Diseases

    We develop and apply computational tools to answer biomedical questions to better understand complex diseases by using all types of genetic and genomic data. We work on generating efficient computational strategies to better understand the association between human genetic variability and complex diseases.

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