The second international Summer School on Machine Learning in Bioinformatics took place on August 23–27. This year’s school featured 533 participants from 53 countries.
The Genetics of Cardiovascular Diseases Consortium, the first of this kind in Russia, was unveiled at HSE University at Cardiogenetics and Bioinformatics: 2021 Realities, an interdisciplinary forum. The consortium aims to compile a centralized and complete catalogue of the Russian population’s genomic mutations.
The Moscow Conference on Computational Molecular Biology (MCCMB) took place on 07/30/2021 - 08/02/2021
On June 29, 2021, the first School "Cardiogenetics and Bioinformatics - Hypertrophic Cardiomyopathy" was held online.
The ABZ 2021 Meeting was held virtually on May 19, 2021, at the Faculty. The first of its kind, this international conference gathered more than 200 scientists from many disciplines to specifically address progress in research involving Z-DNA and Z-RNA.
On March 10, 2021, a scientific cooperation agreement was signed between the members of the «Genetics of cardiovascular diseases» consortium
On February 2, 2021 an online round table "Genetics of cardiovascular diseases" was held. It was dedicated to the genetics of cardiovascular diseases, the formation of a consortium in this research area and preparations for the signing of an agreement on scientific cooperation.
On January 25-30, 2021 the International Conference “Mathematics. A computer. Education ”in the online format, within which Alexey Shaitan, Researcher of the International Laboratory of Bioinformatics, presented a report on the article“ Modeling and Molecular Design of Protein and Nucleic Acid Complexes.
Fedor Pavlov, a research intern at the International Bioinformatics Laboratory, gave a presentation at the IEEE BIBM 2020 international conference, which was held online December 16-19, 2020. At the Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM) workshop, he presented a paper "Recognition of DNA Secondary Structures as Nucleosome Barriers with Deep Learning Methods," published in co-authorship with Maria Poptsova.