Bioinformatics in Russia: history and present-day landscape

Abstract Bioinformatics has become an interdisciplinary subject due to its universal role in molecular biology research. The current status of Russia’s bioinformatics research in Russia is not known. Here, we review the history of bioinformatics in Russia, present the current landscape, and highligh...

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Veröffentlicht in:Briefings in bioinformatics Jg. 25; H. 6
Hauptverfasser: Nawaz, Muhammad A, Pamirsky, Igor E, Golokhvast, Kirill S
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Oxford University Press 23.09.2024
Oxford Publishing Limited (England)
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ISSN:1467-5463, 1477-4054, 1477-4054
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Zusammenfassung:Abstract Bioinformatics has become an interdisciplinary subject due to its universal role in molecular biology research. The current status of Russia’s bioinformatics research in Russia is not known. Here, we review the history of bioinformatics in Russia, present the current landscape, and highlight future directions and challenges. Bioinformatics research in Russia is driven by four major industries: information technology, pharmaceuticals, biotechnology, and agriculture. Over the past three decades, despite a delayed start, the field has gained momentum, especially in protein and nucleic acid research. Dedicated and shared centers for genomics, proteomics, and bioinformatics are active in different regions of Russia. Present-day bioinformatics in Russia is characterized by research issues related to genetics, metagenomics, OMICs, medical informatics, computational biology, environmental informatics, and structural bioinformatics. Notable developments are in the fields of software (tools, algorithms, and pipelines), use of high computation power (e.g. by the Siberian Supercomputer Center), and large-scale sequencing projects (the sequencing of 100 000 human genomes). Government funding is increasing, policies are being changed, and a National Genomic Information Database is being established. An increased focus on eukaryotic genome sequencing, the development of a common place for developers and researchers to share tools and data, and the use of biological modeling, machine learning, and biostatistics are key areas for future focus. Universities and research institutes have started to implement bioinformatics modules. A critical mass of bioinformaticians is essential to catch up with the global pace in the discipline.
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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbae513