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The BioPAX community standard for pathway data sharing

  • Emek Demir
  • , Michael P. Cary
  • , Suzanne Paley
  • , Ken Fukuda
  • , Christian Lemer
  • , Imre Vastrik
  • , Guanming Wu
  • , Peter D'Eustachio
  • , Carl Schaefer
  • , Joanne Luciano
  • , Frank Schacherer
  • , Irma Martinez-Flores
  • , Zhenjun Hu
  • , Veronica Jimenez-Jacinto
  • , Geeta Joshi-Tope
  • , Kumaran Kandasamy
  • , Alejandra C. Lopez-Fuentes
  • , Huaiyu Mi
  • , Elgar Pichler
  • , Igor Rodchenkov
  • Andrea Splendiani, Sasha Tkachev, Jeremy Zucker, Gopal Gopinath, Harsha Rajasimha, Ranjani Ramakrishnan, Imran Shah, Mustafa Syed, Nadia Anwar, Özgün Babur, Michael Blinov, Erik Brauner, Dan Corwin, Sylva Donaldson, Frank Gibbons, Robert Goldberg, Peter Hornbeck, Augustin Luna, Peter Murray-Rust, Eric Neumann, Oliver Reubenacker, Matthias Samwald, Martijn Van Iersel, Sarala Wimalaratne, Keith Allen, Burk Braun, Michelle Whirl-Carrillo, Kei Hoi Cheung, Kam Dahlquist, Andrew Finney, Marc Gillespie, Elizabeth Glass, Li Gong, Robin Haw, Michael Honig, Olivier Hubaut, David Kane, Shiva Krupa, Martina Kutmon, Julie Leonard, Debbie Marks, David Merberg, Victoria Petri, Alex Pico, Dean Ravenscroft, Liya Ren, Nigam Shah, Margot Sunshine, Rebecca Tang, Ryan Whaley, Stan Letovksy, Kenneth H. Buetow, Andrey Rzhetsky, Vincent Schachter, Bruno S. Sobral, Ugur Dogrusoz, Shannon McWeeney, Mirit Aladjem, Ewan Birney, Julio Collado-Vides, Susumu Goto, Michael Hucka, Nicolas Le Novère, Natalia Maltsev, Akhilesh Pandey, Paul Thomas, Edgar Wingender, Peter D. Karp, Chris Sander, Gary D. Bader
  • Memorial Sloan Kettering Cancer Center
  • Bilkent University
  • SRI International
  • Japan Science and Technology Agency
  • Université Libre de Bruxelles
  • European Bioinformatics Institute
  • Ontario Institute for Cancer Research
  • New York University
  • National Cancer Institute
  • Predictive Medicine, Inc.
  • BIOBASE Corporation
  • Universidad Nacional Autónoma de México Campus Morelos
  • University of Massachusetts Boston
  • Cold Spring Harbor Laboratory
  • Johns Hopkins University
  • University of Toronto Faculty of Medicine
  • Université Rennes 1
  • Rothamsted Research
  • Cell Signaling Technology, Inc.
  • Broad Institute
  • US Food and Drug Administration
  • State University
  • National Eye Institute (NEI)
  • Oregon Health & Science University
  • United States Environmental Protection Agency
  • Argonne National Laboratory
  • University of Connecticut Health Center
  • Harvard Medical School
  • Lexikos Corporation
  • National Institute of Standards and Technology
  • University of Cambridge
  • Clinical Semantics Group
  • National University of Ireland
  • Konrad Lorenz Institute for Evolution and Cognition Research
  • Maastricht University
  • University of Auckland
  • Syngenta Biotech Inc.
  • Stanford University
  • Yale University
  • Physiomics PLC
  • St. John’s University
  • Columbia University
  • SRA International
  • Novartis Knowledge Center
  • University of Ottawa
  • Vertex Pharmaceuticals, Inc.
  • Medical College of Wisconsin
  • Gladstone Institute of Cardiovascular Disease
  • Cornell University
  • Computational Sciences, Informatics, Millennium Pharmaceuticals Inc.
  • University of Chicago and Argonne National Laboratory
  • Total Gas and Power
  • Kyoto University
  • California Institute of Technology
  • Department of Bioinformatics

Research output: Contribution to journalArticlepeer-review

Abstract

Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway data has spurred the development of databases and computational tools to aid interpretation; however, use of these data is hampered by the current fragmentation of pathway information across many databases with incompatible formats. BioPAX, which was created through a community process, solves this problem by making pathway data substantially easier to collect, index, interpret and share. BioPAX can represent metabolic and signaling pathways, molecular and genetic interactions and gene regulation networks. Using BioPAX, millions of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases. This large amount of pathway data in a computable form will support visualization, analysis and biological discovery.

Original languageEnglish
Pages (from-to)935-942
Number of pages8
JournalNature Biotechnology
Volume28
Issue number9
DOIs
StatePublished - Sep 2010

ASJC Scopus Subject Areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

Disciplines

  • Biology

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