Litcius/Paper detail

The GA4GH Phenopacket schema defines a computable representation of clinical data

Julius O.B. Jacobsen, Michael Baudis, Gareth Baynam, J. Beckmann, Sergi Beltrán, Orion J. Buske, Tiffany J. Callahan, Christopher G. Chute, Mélanie Courtot, Daniel Daniš, Olivier Elemento, Andrea Essenwanger, Robert R. Freimuth, Michael Gargano, Tudor Groza, Ada Hamosh, Nomi L. Harris, Rajaram Kaliyaperumal, K. C. Kent Lloyd, Aly Khalifa, Peter Krawitz, Sebastian Köhler, Bryan Laraway, Heikki Lehväslaiho, Leslie Matalonga, Julie A. McMurry, Alejandro Metke‐Jimenez, Chris Mungall, Mónica Muñoz-Torres, Soichi Ogishima, Anastasios Papakonstantinou, Davide Piscia, Nikolas Pontikos, Núria Queralt-Rosiñach, Marco Roos, Julian Saß, Paul N. Schofield, Dominik Seelow, Anastasios Siapos, Damian Smedley, Lindsay Smith, Robin Steinhaus, Jagadish Chandrabose Sundaramurthi, Emilia M. Swietlik, Sylvia Thun, Nicole Vasilevsky, Alex H. Wagner, Jeremy L. Warner, Claus Weiland, Myles Axton, Lawrence Babb, Cornelius F. Boerkoel, Bimal P. Chaudhari, Hui‐Lin Chin, Michel Dumontier, Nour Gazzaz, David P. Hansen, Harry Hochheiser, Veronica A. Kinsler, Hanns Lochmüller, Alexander Mankovich, Gary Saunders, Panagiotis I. Sergouniotis, Rachel Thompson, Andreas Zankl, Melissa Haendel, Peter N. Robinson

2022Nature Biotechnology111 citationsDOIOpen Access PDF

Topics & Concepts

Schema (genetic algorithms)Representation (politics)Computer scienceInformation retrievalPolitical scienceLawPoliticsGenomics and Rare DiseasesBiomedical Text Mining and OntologiesPancreatic and Hepatic Oncology Research
The GA4GH Phenopacket schema defines a computable representation of clinical data | Litcius