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Mondo: Unifying diseases for the world, by the world

Authors :
Nicole A Vasilevsky
Nicolas A Matentzoglu
Sabrina Toro
Joseph E Flack
Harshad Hegde
Deepak R Unni
Gioconda F Alyea
Joanna S Amberger
Larry Babb
James P Balhoff
Taylor I Bingaman
Gully A Burns
Orion J Buske
Tiffany J Callahan
Leigh C Carmody
Paula Carrio Cordo
Lauren E Chan
George S Chang
Sean L Christiaens
Michel Dumontier
Laura E Failla
May J Flowers
H. Alpha Garrett
Jennifer L Goldstein
Dylan Gration
Tudor Groza
Marc Hanauer
Nomi L Harris
Jason A Hilton
Daniel S Himmelstein
Charles Tapley Hoyt
Megan S Kane
Sebastian Köhler
David Lagorce
Abbe Lai
Martin Larralde
Antonia Lock
Irene López Santiago
Donna R Maglott
Adriana J Malheiro
Birgit H M Meldal
Monica C Munoz-Torres
Tristan H Nelson
Frank W Nicholas
David Ochoa
Daniel P Olson
Tudor I Oprea
David Osumi-Sutherland
Helen Parkinson
Zoë May Pendlington
Ana Rath
Heidi L Rehm
Lyubov Remennik
Erin R Riggs
Paola Roncaglia
Justyne E Ross
Marion F Shadbolt
Kent A Shefchek
Morgan N Similuk
Nicholas Sioutos
Damian Smedley
Rachel Sparks
Ray Stefancsik
Ralf Stephan
Andrea L Storm
Doron Stupp
Gregory S Stupp
Jagadish Chandrabose Sundaramurthi
Imke Tammen
Darin Tay
Courtney L Thaxton
Eloise Valasek
Jordi Valls-Margarit
Alex H Wagner
Danielle Welter
Patricia L Whetzel
Lori L Whiteman
Valerie Wood
Colleen H Xu
Andreas Zankl
Xingmin Aaron Zhang
Christopher G Chute
Peter N Robinson
Christopher J Mungall
Ada Hamosh
Melissa A Haendel
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

There are thousands of distinct disease entities and concepts, each of which are known by different and sometimes contradictory names. The lack of a unified system for managing these entities poses a major challenge for both machines and humans that need to harmonize information to better predict causes and treatments for disease. The Mondo Disease Ontology is an open, community-driven ontology that integrates key medical and biomedical terminologies, supporting disease data integration to improve diagnosis, treatment, and translational research. Mondo records the sources of all data and is continually updated, making it suitable for research and clinical applications that require up-to-date disease knowledge.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........eb95e9f275c4c5ac6590aa22f6896dbb
Full Text :
https://doi.org/10.1101/2022.04.13.22273750