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Applying the digital data and the bioinformatics tools in SARS-CoV-2 research
Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568291/ https://www.ncbi.nlm.nih.gov/pubmed/37841328 http://dx.doi.org/10.1016/j.csbj.2023.09.044 |
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author | Tan, Meng Xia, Jiaxin Luo, Haitao Meng, Geng Zhu, Zhenglin |
author_facet | Tan, Meng Xia, Jiaxin Luo, Haitao Meng, Geng Zhu, Zhenglin |
author_sort | Tan, Meng |
collection | PubMed |
description | Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligence and deep learning assisted the development of novel bioinformatics tools to analyze daily increasing SARS-CoV-2 data in the past years. These tools were applied in genomic analyses, evolutionary tracking, epidemiological analyses, protein structure interpretation, studies in virus-host interaction and clinical performance. To promote the in-silico analysis in the future, we conducted a review which summarized the databases, web services and software applied in SARS-CoV-2 research. Those digital resources applied in SARS-CoV-2 research may also potentially contribute to the research in other coronavirus and non-coronavirus viruses. |
format | Online Article Text |
id | pubmed-10568291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-105682912023-10-13 Applying the digital data and the bioinformatics tools in SARS-CoV-2 research Tan, Meng Xia, Jiaxin Luo, Haitao Meng, Geng Zhu, Zhenglin Comput Struct Biotechnol J Review Article Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligence and deep learning assisted the development of novel bioinformatics tools to analyze daily increasing SARS-CoV-2 data in the past years. These tools were applied in genomic analyses, evolutionary tracking, epidemiological analyses, protein structure interpretation, studies in virus-host interaction and clinical performance. To promote the in-silico analysis in the future, we conducted a review which summarized the databases, web services and software applied in SARS-CoV-2 research. Those digital resources applied in SARS-CoV-2 research may also potentially contribute to the research in other coronavirus and non-coronavirus viruses. Research Network of Computational and Structural Biotechnology 2023-10-01 /pmc/articles/PMC10568291/ /pubmed/37841328 http://dx.doi.org/10.1016/j.csbj.2023.09.044 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Tan, Meng Xia, Jiaxin Luo, Haitao Meng, Geng Zhu, Zhenglin Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title | Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title_full | Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title_fullStr | Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title_full_unstemmed | Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title_short | Applying the digital data and the bioinformatics tools in SARS-CoV-2 research |
title_sort | applying the digital data and the bioinformatics tools in sars-cov-2 research |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568291/ https://www.ncbi.nlm.nih.gov/pubmed/37841328 http://dx.doi.org/10.1016/j.csbj.2023.09.044 |
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