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

被引:2
|
作者
Tan, Meng [1 ]
Xia, Jiaxin [1 ]
Luo, Haitao [1 ]
Meng, Geng [2 ,3 ]
Zhu, Zhenglin [1 ,4 ]
机构
[1] Chongqing Univ, Sch Life Sci, Chongqing, Peoples R China
[2] China Agr Univ, Coll Vet Med, Beijing, Peoples R China
[3] China Agr Univ, Coll Vet Med, Beijing 100094, Peoples R China
[4] Chongqing Univ, Sch Life Sci, 55 Daxuecheng South Rd, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
SARS-CoV-2; Bioinformatics tool; Database; Software; Webserver; COVID-19; VISUALIZATION; RESOURCE; PROTEOME; PLATFORM; TARGETS; IMPACT; VIRUS; WUHAN;
D O I
10.1016/j.csbj.2023.09.044
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:4697 / 4705
页数:9
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