Accepted_test

Millions of SARS-CoV-2 genomes in the RAM of a regular PC: fast and efficient analysis of evolutionary changes

by Andrey Palyanov | Natalia Palyanova | A.P. Ershov Institute of Informatics Systems of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia | Research Institute of Virology, Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia

Abstract ID: 298

Event: BGRS-abstracts

Sections: [Sym 12] Section “Systems theory, big biological data analysis, ontologies and artificial intelligence”

Enter brief annotation of your abstract in this text form (around 250 words):

"About 3.7 million of SARS-CoV-2 genome variants (collected within the time interval from the appearance of this virus in the end of 2019 to May 3, 2024) from NCBI Genbank, free of unidentified nucleotides ("N"s), were aligned using Wuhan-Hu-1/2019 as a reference, and then stored in the RAM of the desktop PC in a compact and efficient way providing fast operations and analysis, which was implemented as a software tool. As a result, without explicitly constructing a phylogenetic tree, an analogue of it was obtained, showing in detail the ongoing evolutionary processes, including periods of slow changes caused by mutations and rapid jumps over longer distances through recombinations, deletions and insertions."

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