TogoID: an exploratory ID converter to bridge biological datasets

Author:

Ikeda Shuya1ORCID,Ono Hiromasa1ORCID,Ohta Tazro1ORCID,Chiba Hirokazu1ORCID,Naito Yuki1ORCID,Moriya Yuki1ORCID,Kawashima Shuichi1ORCID,Yamamoto Yasunori1ORCID,Okamoto Shinobu1,Goto Susumu1ORCID,Katayama Toshiaki1ORCID

Affiliation:

1. Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, University of Tokyo Kashiwanoha-campus Station Satellite 6F , Kashiwa, Chiba 277-0871, Japan

Abstract

Abstract Motivation Understanding life cannot be accomplished without making full use of biological data, which are scattered across databases of diverse categories in life sciences. To connect such data seamlessly, identifier (ID) conversion plays a key role. However, existing ID conversion services have disadvantages, such as covering only a limited range of biological categories of databases, not keeping up with the updates of the original databases and outputs being hard to interpret in the context of biological relations, especially when converting IDs in multiple steps. Results TogoID is an ID conversion service implementing unique features with an intuitive web interface and an application programming interface (API) for programmatic access. TogoID currently supports 65 datasets covering various biological categories. TogoID users can perform exploratory multistep conversions to find a path among IDs. To guide the interpretation of biological meanings in the conversions, we crafted an ontology that defines the semantics of the dataset relations. Availability and implementation The TogoID service is freely available on the TogoID website (https://togoid.dbcls.jp/) and the API is also provided to allow programmatic access. To encourage developers to add new dataset pairs, the system stores the configurations of pairs at the GitHub repository (https://github.com/togoid/togoid-config) and accepts the request of additional pairs. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Life Science Database Integration Project

NBDC of Japan Science and Technology Agency

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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