Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology
The novel coronavirus pandemic has stimulated the scientific activity of virology and interdisciplinary sciences: medical cybernetics and bioinformatics. The article is focused on the study of algorithms for processing bioinformatic data of genomic origin predominantly for the purposes of predominan...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Russian |
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Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center
2022-06-01
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| Series: | Цифровая трансформация |
| Subjects: | |
| Online Access: | https://dt.bsuir.by/jour/article/view/663 |
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| author | M. V. Sprindzuk A. S. Vladyko L. P. Titov Lu Zhuozhuang V. I. Bernik |
| author_facet | M. V. Sprindzuk A. S. Vladyko L. P. Titov Lu Zhuozhuang V. I. Bernik |
| author_sort | M. V. Sprindzuk |
| collection | DOAJ |
| description | The novel coronavirus pandemic has stimulated the scientific activity of virology and interdisciplinary sciences: medical cybernetics and bioinformatics. The article is focused on the study of algorithms for processing bioinformatic data of genomic origin predominantly for the purposes of predominantly immunoinformatics and computational vaccinology. The schemes of algorithms developed by the authors for the analysis of bioinformatic data are presented. The algorithms for processing genomic information developed by the authors based on the analysis of the available literature and many years of experience in computational and laboratory experiments can be used not only for the design and analysis of epitope vaccine components, but also for the other tasks of computational virology and microbiology. In silico experiments on the analysis of bioinformatic data are relatively low-cost and multi-informative, but they require highly qualified scientists with extensive experience, interdisciplinary training, and, accordingly, a wide range of knowledge and skills. However, for the complete analysis and implementation of, for example, the epitope vaccines, subsequent validation by the laboratory and in vivo experiments are required. |
| format | Article |
| id | doaj-art-091e2245d8594cc9b6837ae7ac14ec59 |
| institution | Kabale University |
| issn | 2522-9613 2524-2822 |
| language | Russian |
| publishDate | 2022-06-01 |
| publisher | Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center |
| record_format | Article |
| series | Цифровая трансформация |
| spelling | doaj-art-091e2245d8594cc9b6837ae7ac14ec592025-02-03T05:39:03ZrusMinistry of Education of the Republic of Belarus, Establishment The Main Information and Analytical CenterЦифровая трансформация2522-96132524-28222022-06-01281718110.35596/2522-9613-2022-28-1-71-81265Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and VirologyM. V. Sprindzuk0A. S. Vladyko1L. P. Titov2Lu Zhuozhuang3V. I. Bernik4National Academy of Sciences of BelarusBelarus Ministry of HealthcareRRPC for epidemiology and microbiologyChinese Center for Disease Control and PreventionState Scientific Institution «Institute of Mathematics of the National Academy of Sciences of Belarus»The novel coronavirus pandemic has stimulated the scientific activity of virology and interdisciplinary sciences: medical cybernetics and bioinformatics. The article is focused on the study of algorithms for processing bioinformatic data of genomic origin predominantly for the purposes of predominantly immunoinformatics and computational vaccinology. The schemes of algorithms developed by the authors for the analysis of bioinformatic data are presented. The algorithms for processing genomic information developed by the authors based on the analysis of the available literature and many years of experience in computational and laboratory experiments can be used not only for the design and analysis of epitope vaccine components, but also for the other tasks of computational virology and microbiology. In silico experiments on the analysis of bioinformatic data are relatively low-cost and multi-informative, but they require highly qualified scientists with extensive experience, interdisciplinary training, and, accordingly, a wide range of knowledge and skills. However, for the complete analysis and implementation of, for example, the epitope vaccines, subsequent validation by the laboratory and in vivo experiments are required.https://dt.bsuir.by/jour/article/view/663sars-cov-2covid-19coronavirusepidemicpandemicautomated data processing systemssoftwaremedical cyberneticsgenomicstranscriptomicsmedical systemsimmunoinformatics |
| spellingShingle | M. V. Sprindzuk A. S. Vladyko L. P. Titov Lu Zhuozhuang V. I. Bernik Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology Цифровая трансформация sars-cov-2 covid-19 coronavirus epidemic pandemic automated data processing systems software medical cybernetics genomics transcriptomics medical systems immunoinformatics |
| title | Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology |
| title_full | Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology |
| title_fullStr | Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology |
| title_full_unstemmed | Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology |
| title_short | Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology |
| title_sort | algorithms for processing coronavirus genomes for the goals and objectives of modern immunoinformatics vaccinomics and virology |
| topic | sars-cov-2 covid-19 coronavirus epidemic pandemic automated data processing systems software medical cybernetics genomics transcriptomics medical systems immunoinformatics |
| url | https://dt.bsuir.by/jour/article/view/663 |
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