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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...

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Detalles Bibliográficos
Autores principales: Tan, Meng, Xia, Jiaxin, Luo, Haitao, Meng, Geng, Zhu, Zhenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
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.
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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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