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DaTo: An Integrative Web Portal for Biological Databases and Tools

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Abstract

DaTo is a collection of published online biological databases and tools, started to offer service since 2011 and it has been continuously upgraded since then. In the latest version, there are 36,639 resources. DaTo offers a user-friendly interface and provides extensible URL-related comments, such as URL status, Geo location, and the authorship. A graphical interactive web browser was embedded into DaTo front-end to facilitate the research of ontology-based semantic similarity relationships among tools and databases. Using DaTo, the geographic location, health status, and journal associations were evaluated based on the historical development of bioinformatics tools and databases in the past 20 years. Besides, a specific collection of biological databases and tools can be generated. OverCOVID (http://bis.zju.edu.cn/overcovid) is such a sub-database to contain SAR-Covid-related bioinformatics resources. The updated version of DaTo is accessible via http://bis.zju.edu.cn/dato/.

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Acknowledgments

This work was partially supported by the National Natural Science Foundation of China [No. 31571366], and CSC & DAAD (PPP program No. 57136444).

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Authors and Affiliations

  1. Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, China

    Yincong Zhou & Ming Chen

  2. Department of Bioinformatics and Medical Informatics, Faculty of Technology, Bielefeld University, Bielefeld, Germany

    Ralf Hofestädt

Authors
  1. Yincong Zhou
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  2. Ralf Hofestädt
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  3. Ming Chen
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Corresponding author

Correspondence to Yincong Zhou .

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Editors and Affiliations

  1. College of Life Sciences, Zhejiang University, Hangzhou, China

    Ming Chen

  2. Faculty of Technology, Bielefeld University, Bielefeld, Nordrhein-Westfalen, Germany

    Ralf Hofestädt

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhou, Y., Hofestädt, R., Chen, M. (2022). DaTo: An Integrative Web Portal for Biological Databases and Tools. In: Chen, M., Hofestädt, R. (eds) Integrative Bioinformatics. Springer, Singapore. https://doi.org/10.1007/978-981-16-6795-4_6

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