The laboratory’s research activity is primarily aimed at developing new mathematical models, methods, and software for analysing genomic data in various tasks, as well as experimental data analysis. The laboratory is currently engaged in the following areas of research activity:
Population and evolutionary genetics
Research areas: mathematical modelling of population evolution, studying genetic relationships, calculating and analysing ancestral recombination graphs, estimating population parameters (population size, separation time, and migration intensity), and studying the influence of natural selection on genetic diversity.
Research areas: modelling post-mortem damage in ancient DNA, joint study of modern and ancient samples, searching for signs of natural selection using population analysis, and joint interpretation of genetic and archaeological data.
Sequence processing and metagenomics
Research areas: developing methods for read processing, storing and classifying; developing methods for analysing composition of metagenomic data, and methods for processing and analysing NGS data.
Research fellows and students of the laboratory collaborate with international expert groups engaged in these research areas.
The laboratory holds weekly lab-meetings with international colleagues who participate remotely, as well as research seminars for students and research assistants.
On April 9, 2020, the laboratory’s first research seminar, which will also be held weekly, took place.
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