Applying the digital data and the bioinformatics tools in SARS-CoV-2 research

Meng Tan; Jiaxin Xia; Haitao Luo; Geng Meng; Zhenglin Zhu

doi:10.1016/j.csbj.2023.09.044

Applying the digital data and the bioinformatics tools in SARS-CoV-2 research

Comput Struct Biotechnol J. 2023 Oct 1:21:4697-4705. doi: 10.1016/j.csbj.2023.09.044. eCollection 2023.

Authors

Meng Tan¹, Jiaxin Xia¹, Haitao Luo¹, Geng Meng², Zhenglin Zhu¹

Affiliations

¹ School of Life Sciences, Chongqing University, Chongqing, China.
² College of Veterinary Medicine, China Agricultural University, Beijing, China.

Abstract

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.

Keywords: Bioinformatics tool; Database; SARS-CoV-2; Software; Webserver.

Publication types

Review