MODERN CLASSIFICATION OF SOFTWARE FOR THE ANALYSIS OF BIOINFORMATION DATA OF GENOMIC NATURE
AND NOVEL CONCEPTS FOR THE INTERPRETATION OF COMPUTATIONAL EXPERIMENTS 

Matvey V. Sprindzhuk, Candidate of technical sciences, senior scientist, United Institute of Informatics Problems of the Belarus National Academy of Sciences (6 Surganova street, Minsk, Republic of Belarus), E-mail: stepanenkomatvei@yandex.ru
Vasiliy I. Bernik, Doctor of physical and mathematical sciences, professor, chief researcher, Institute of Mathematics of the National Academy of Sciences of Belarus (11 Surganova street, Minsk, Republic of Belarus), E-mail: bernik@im.bas-net.by
Andrey P. Konchits, Candidate of biological sciences, leading researcher, Forest Institute of the National academy of sciences of Belarus, (71 Proletarskaya street, Gomel, Republic of Belarus), E-mail: konchits@yandex.ru

Background. The emergence and importance of the research topic is substantiated by the colossal growth in the volume of accumulated and underprocessed medical information, the evolution of mathematical and algorithmic apparatus, and the need to improve existing data processing pipelines. The purpose of the work was to review and report the new classification and concepts of data interpretation proposed by the authors, as well as an experience in software development. Materials and methods. The questions of classification of software for automating the process of analyzing bioinformational data of the genomic nature and new the principles for interpreting computational experiments in genomics are discussed. Results and conclusions. As a result, the article presents a brief review of the literature on the topic of modern computational genomics, bioinformatics, mathematical biology, medical cybernetics, big data for medicine and biology, nucleic acid sequencing technologies, experience in developing pipelines for the analysis of genomic data, the new classification of software and concepts for interpreting data in this complex interdisciplinary multi-component subject area.

medical cybernetics, medical systems, genomics, presentation and display of information, data interpretation, big data, bioinformatics, applied mathematics, artificial intelligence, machine learning, forensic DNA Financing: the study was supported by the ISTC PR150 grant "Belarus TB Database and TB Poland".

Sprindzuk M.V., Bernik V.I., Konchits A.P. Modern classification of software for the analysis of bioinformation data of genomic nature and novel concepts for the interpretation of computational experiments. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2024;(4):139–148. (In Russ.). doi: 10.21685/2307-5538-2024-4-16