Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation
Abstract
Analysis of bioinformatics data is an actual problem in modern computational biology and applied mathematics. With the development of biotechnology, as well as tools for obtaining and processing information derived from biological objects and systems, unresolved issues of the development and application of new algorithms and software have emerged. The authors propose practical algorithms and methods for processing transcriptome data for effective results of annotation, visualization and interpretation of data.
About the Authors
M. V. Sprindzuk
United Institute for Informatics Problems of the NAS of Belarus
Belarus
Belarus
Candidate of Science (Technical), Senior Researcher, Laboratory of Mathematical Cybernetics
6 Surganovа Str., 220012 Minsk
L. V. Mozharovskaya
Forest Research Institute of the NAS of Belarus
Belarus
Belarus
Researcher, Laboratory of Genomics Research and Bioinformatics
71 Proletarskaya Str., 246001 Gomel
A. P. Konchits
Forest Research Institute of the NAS of Belarus
Belarus
Belarus
Candidate of Science (Biological), Leading Researcher, Forest Tree Breeding and Seed Production Laboratory
71 Proletarskaya Str., 246001 Gomel
L. P. Titov
RRPC for Epidemiology and Microbiology
Russian Federation
Russian Federation
Doctor of Sciences (Medical), Professor, Corresponding Member of the NAS of Belarus, Head of the Laboratory for Clinical and
Experimental Microbiology
23 Filimonova Str., 220114 Minsk
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Review
For citations:
Sprindzuk M.V., Mozharovskaya L.V., Konchits A.P., Titov L.P. Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation. Digital Transformation. 2021;(1):53-64. (In Russ.)
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