Nikolai Bykov

Research advisor: Professor Mikhail Gelfand

Program entry year: 2020

Graduated from HSE, Faculty of Computer Science in 2020

Research project: Changes of Chromatin 3D-structure in Development of Eukaryotes

Research interests: chromatin 3D-structure, computational biology, data analysis, deep learning

Publications:

• HiChew: a Tool for TAD Clustering in Embryogenesis.
  Bykov NS, Sigalova OM, Gelfand MS and Galitsyna AA. Lecture Notes in Computer Science, vol 12304. Springer, Cham., DOI: 10.1007/978-3-030-57821-3_37

Conference presentations:

• HiChew: a Tool for TAD Clustering in Embryogenesis. Bykov NS, Sigalova OM, Gelfand MS and Galitsyna AA. 16th International Symposium on Bioinformatics Research and Applications (ISBRA), Moscow, Russia, 2020 December 1-4. Oral presentation
• HiChew: an update of a tool for clustering of TAD boundaries in development. Nikolai Bykov and Aleksandra Galitsyna. 10th Moscow Conference on Computational Molecular Biology MCCMB’21, Moscow, Russia, July 30th — August 2nd, 2021. Poster presentation

Grants:

• 2021: Skoltech sequencing grant for “Redistribution of Chromatin Architecture Factors in Danio rerio development”
• 2021: Russian Foundation for Basic Research (RFBR) grant 21-34-70051 for “Development of algorithms for analyzing Hi-C data on DNA packaging in cell nuclei”. Participant