Litcius/Paper detail

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

Meng How Tan, Jiaxin Xia, Haitao Luo, Geng Meng, Zhenglin Zhu

2023Computational and Structural Biotechnology Journal15 citationsDOIOpen Access PDF

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.

Topics & Concepts

CoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicCoronavirus disease 2019 (COVID-19)In silicoComputational biologyBig dataData scienceBioinformaticsComputer scienceMedical researchBiologyDiseaseMedicineData miningInfectious disease (medical specialty)GeneticsGenePathologyBiotechnologyGenetics, Bioinformatics, and Biomedical ResearchSARS-CoV-2 and COVID-19 ResearchCOVID-19 diagnosis using AI