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Applying the digital data and the bioinformatics tools in SARS-CoV-2 research
Meng Tan1, Jiaxin Xia1, Haitao Luo1
1School of Life Sciences, Chongqing University, Chongqing, China.
Bioinformatics tools accelerated COVID-19 research by analyzing SARS-CoV-2 data. This review highlights digital resources crucial for virus research and future pandemic preparedness.
Area of Science:
- Bioinformatics
- Computational Biology
- Virology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, highlighted the critical role of bioinformatics in scientific advancement.
- Rapid development of novel algorithms, big data technologies, AI, and deep learning fueled the creation of bioinformatics tools for analyzing SARS-CoV-2 data.
Purpose of the Study:
- To review and summarize the databases, web services, and software utilized in SARS-CoV-2 research.
- To promote future in-silico analysis by cataloging essential digital resources.
Main Methods:
- Literature review and synthesis of bioinformatics tools and resources.
- Categorization of tools based on their application in SARS-CoV-2 research.
Main Results:
- Identified key bioinformatics tools applied in genomic analysis, evolutionary tracking, epidemiology, protein structure, virus-host interactions, and clinical performance.
- Cataloged various databases, web services, and software essential for SARS-CoV-2 research.
Conclusions:
- The reviewed digital resources are vital for ongoing SARS-CoV-2 research.
- These resources hold potential for application in the study of other coronaviruses and non-coronavirus viruses, aiding future pandemic responses.
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