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Related Experiment Video

Updated: Nov 19, 2025

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

biotoolsSchema: a formalized schema for bioinformatics software description.

Jon Ison¹, Hans Ienasescu², Emil Rydza³

¹CNRS, UMS 3601, Institut Français de Bioinformatique, IFB-core, 2 rue Gaston Crémieux, F-91000 Evry, France.

|January 28, 2021

Summary

This summary is machine-generated.

Life scientists struggle to find suitable digital resources due to varied descriptions. biotoolsSchema offers a standardized model for bioinformatics resources, improving discoverability and FAIR data principles.

Keywords:

Bioinformatics software Data sharing Standards Tools

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Area of Science:

Bioinformatics
Life Sciences
Computational Biology

Background:

Life scientists face challenges in managing and accessing diverse digital resources for data analysis.
Heterogeneous descriptions of life-science digital resources hinder their effective utilization.
Existing standardization efforts lack sufficient detail for uniform semantic and syntactic cataloging.

Purpose of the Study:

To introduce biotoolsSchema, a formalized information model for describing bioinformatics resources.
To balance conciseness for adoption with the need for rich technical and scientific context.
To facilitate the cataloging and discovery of life-science digital tools.

Main Methods:

Developed biotoolsSchema through community-driven workshops.
Deployed biotoolsSchema in the bio.tools registry.
Compared biotoolsSchema with related initiatives and provided alignments for interoperability.

Main Results:

Created biotoolsSchema, a formalized information model for bioinformatics resources.
Deployed in bio.tools, it provides over 17,000 machine-readable and human-understandable descriptions.
Enabled consistent specification of syntax and semantics for bioinformatics resources.

Conclusions:

biotoolsSchema supports rigorous and consistent specification of bioinformatics resources.
It enables cataloging efforts like bio.tools, aiding scientists in finding and comparing resources.
Promotes FAIR (Findable, Accessible, Interoperable, Reusable) principles for research software.