TogoID: an exploratory ID converter to bridge biological datasets | Zendy

Shuya Ikeda | Zendy; Hiromasa Ono | Zendy; Tazro Ohta | Zendy; Hirokazu Chiba | Zendy; Yuki Naito | Zendy; Yuki Moriya | Zendy; Shuichi Kawashima | Zendy; Yasunori Yamamoto | Zendy; Shinobu Okamoto | Zendy; Susumu Goto | Zendy; Toshiaki Katayama | Zendy

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TogoID: an exploratory ID converter to bridge biological datasets

Author(s) -

Shuya Ikeda,

Hiromasa Ono,

Tazro Ohta,

Hirokazu Chiba,

Yuki Naito,

Yuki Moriya,

Shuichi Kawashima,

Yasunori Yamamoto,

Shinobu Okamoto,

Susumu Goto,

Toshiaki Katayama

Publication year - 2022

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btac491

Subject(s) - bridge (graph theory) , computer science , software , exploratory research , programming language , biology , anatomy , sociology , anthropology

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.

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