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Databases, Knowledgebases, and Software Tools for Virus Informatics

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Translational Informatics

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1368))

Abstract

Virus infection is a common social health issue. In the past decades, serious virus infectious events have caused great loss in people’s life and the economics. The nature of rapid widespread and frequent variation increases the difficulty for precision viral prevention and treatment. In the era of big data and artificial intelligence (AI), advances in bioinformatics techniques bring unprecedented opportunities for virus informatics study, which contribute to the systems-level modeling of virus biology. In this chapter, data resources including virus-related databases and knowledgebases are introduced. Bioinformatics models and software tools for multiple sequence alignment, evolutionary analysis, and genome-wide research of viruses are summarized and emphasized. Translational applications of recently developed data-driven and AI-assisted methods to viral cases such as SARS-CoV-2, HBV/HCV, and influenza virus are discussed. Finally, the concept and significance of virus informatics are highlighted for both virus surveillance and health promotion.

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Acknowledgments

This study was supported by the COVID-19 Research Projects of West China Hospital Sichuan University (Grant no. HX-2019-nCoV-057), the National Natural Science Foundation of China (grant nos. 32070671, and 31900490), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (grant no. 20KJB180010), and the regional innovation cooperation between Sichuan and Guangxi Provinces (grant no. 2020YFQ0019).

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The authors declare no conflict of interest.

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Author notes

  1. Yuxin Lin and Yulan Qian contributed equally with all other contributors.

Authors and Affiliations

  1. Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China

    Yuxin Lin

  2. Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China

    Yulan Qian

  3. School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, China

    Xin Qi

  4. Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China

    Bairong Shen

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  1. Yuxin Lin
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  2. Yulan Qian
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  3. Xin Qi
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Correspondence to Bairong Shen .

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Editors and Affiliations

  1. Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China

    Bairong Shen

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Lin, Y., Qian, Y., Qi, X., Shen, B. (2022). Databases, Knowledgebases, and Software Tools for Virus Informatics. In: Shen, B. (eds) Translational Informatics. Advances in Experimental Medicine and Biology, vol 1368. Springer, Singapore. https://doi.org/10.1007/978-981-16-8969-7_1

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