Towards globally equitable bioinformatics adoption
Paulyna Magaña,
Piraveen Gopalasingam,
Jennifer R Fleming,
Oleg Kovalevskiy,
Augustin Žídek,
ThankGod Echezona Ebenezer,
Agata Laydon,
Roz Onions,
Eva Akurut,
Syed Muktadir Al Sium,
Yalbi Itzel Balderas-Martínez,
Sanjana Fatema Chowdhury,
Saikat Chowdhury,
Sylvia Christie,
Govinda Rao Dabburu,
Fatoumata Gnine Fofana,
Ronald Galiwango,
Mahipal Ganji,
Daudi Jjingo,
Fredrick Elishama Kakembo,
Grace Kebirungi,
Shahiid Kiyaga,
Ayoub Ksouri,
Sanjeet Kumar Mahtha,
Vinicius Maracaja-Coutinho,
Jack Mason,
Jose Arturo Molina-Mora,
Patricia P N Nabisubi,
Emmanuel Nji,
Houcemeddine Othman,
Martina Soledad Paoletta,
Nicole M Scherer,
Bhagya Senadheera,
Adrián Gustavo Turjanski,
David Twesigomwe,
Andrew Walakira,
Sameer Velankar and
Cath Brooksbank
PLOS Biology, 2026, vol. 24, issue 7, 1-5
Abstract:
Advances in artificial intelligence (AI)-driven bioinformatics promise democratized discovery, yet major inequities persist. Equitable adoption of bioinformatics tools will require sustained investment in infrastructure, training, institutions, and global communities, not just access.Advances in AI-driven bioinformatics promise democratized discovery, yet major inequities persist. This Perspective uses AlphaFold as an illustrative case to argue that equitable adoption of bioinformatics technologies will require sustained global investment, not just provision of access.
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3003839
DOI: 10.1371/journal.pbio.3003839
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