WikiPathways 2024: next generation pathway database

Author:

Agrawal Ayushi1ORCID,Balcı Hasan2ORCID,Hanspers Kristina1ORCID,Coort Susan L3ORCID,Martens Marvin3ORCID,Slenter Denise N3ORCID,Ehrhart Friederike3ORCID,Digles Daniela4ORCID,Waagmeester Andra5ORCID,Wassink Isabel2ORCID,Abbassi-Daloii Tooba3ORCID,Lopes Elisson N6ORCID,Iyer Aishwarya3ORCID,Acosta Javier Millán3ORCID,Willighagen Lars G7ORCID,Nishida Kozo8ORCID,Riutta Anders1ORCID,Basaric Helena3,Evelo Chris T3ORCID,Willighagen Egon L3ORCID,Kutmon Martina2ORCID,Pico Alexander R1ORCID

Affiliation:

1. Data Science and Biotechnology, Gladstone Institutes , San Francisco, CA, 94158, USA

2. Maastricht Centre for Systems Biology (MaCSBio), Maastricht University , The Netherlands

3. Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University , The Netherlands

4. Department of Pharmaceutical Sciences, University of Vienna , Austria

5. Micelio BV , Ekeren, Belgium

6. Department of Epigenetics. Van Andel Institute , Grand Rapids, MI 49503, USA

7. Unaffiliated , The Netherlands

8. Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology , Japan

Abstract

Abstract WikiPathways (wikipathways.org) is an open-source biological pathway database. Collaboration and open science are pivotal to the success of WikiPathways. Here we highlight the continuing efforts supporting WikiPathways, content growth and collaboration among pathway researchers. As an evolving database, there is a growing need for WikiPathways to address and overcome technical challenges. In this direction, WikiPathways has undergone major restructuring, enabling a renewed approach for sharing and curating pathway knowledge, thus providing stability for the future of community pathway curation. The website has been redesigned to improve and enhance user experience. This next generation of WikiPathways continues to support existing features while improving maintainability of the database and facilitating community input by providing new functionality and leveraging automation.

Funder

National Institute of General Medical Sciences

ZonMw

NWO

European Union’s Horizon 2020

ELIXIR Europe

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference24 articles.

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3. Tissue-specific pathway activities: a retrospective analysis in COVID-19 patients;Pham;Front. Immunol.,2022

4. NDEx IQuery: a multi-method network gene set analysis leveraging the network data exchange;Pillich;Bioinformatics,2023

5. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data;Wu;Innovation (Camb),2021

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