WikiPathways: connecting communities

Autor: Martens, Marvin, Ammar, Ammar, Riutta, Anders, Waagmeester, Andra, Slenter, Denise N, Hanspers, Kristina, A. Miller, Ryan, Digles, Daniela, Lopes, Elisson N, Ehrhart, Friederike, Dupuis, Lauren J, Winckers, Laurent A, Coort, Susan L, Willighagen, Egon L, Evelo, Chris T, Pico, Alexander R, Kutmon, Martina
Přispěvatelé: Bioinformatica, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: NUTRIM - R3 - Respiratory & Age-related Health, RS: FHML MaCSBio, Maastricht Centre for Systems Biology, RS: FSE MaCSBio, RS: FPN MaCSBio
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nucleic Acids Research, 49(D1), D613-D621. Oxford University Press
Nucleic Acids Research
ISSN: 0305-1048
Popis: WikiPathways (https://www.wikipathways.org) is a biological pathway database known for its collaborative nature and open science approaches. With the core idea of the scientific community developing and curating biological knowledge in pathway models, WikiPathways lowers all barriers for accessing and using its content. Increasingly more content creators, initiatives, projects and tools have started using WikiPathways. Central in this growth and increased use of WikiPathways are the various communities that focus on particular subsets of molecular pathways such as for rare diseases and lipid metabolism. Knowledge from published pathway figures helps prioritize pathway development, using optical character and named entity recognition. We show the growth of WikiPathways over the last three years, highlight the new communities and collaborations of pathway authors and curators, and describe various technologies to connect to external resources and initiatives. The road toward a sustainable, community-driven pathway database goes through integration with other resources such as Wikidata and allowing more use, curation and redistribution of WikiPathways content.
Graphical Abstract Graphical AbstractWikiPathways enables research communities to collaborate on molecular pathway curation to create reusable, machine-readable pathway models. The pathway collections are freely available and integrated with many analysis tools and resources.
Databáze: OpenAIRE