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The BioPAX Community Standard for Pathway Data Sharing
Biology Faculty Works
  • E. Demir
  • M. P. Cary
  • S. Paley
  • K. Fukuda
  • C. Lemer
  • I. Vastrik
  • G. Wu
  • P. D’Eustachio
  • C. Schaefer
  • J. Luciano
  • F. Schacherer
  • I. Martinez-Flores
  • Z. Hu
  • V. Jimenez-Jacinto
  • G. Joshi-Tope
  • K. Kandasamy
  • A. C. Lopez-Fuentes
  • H. Mi
  • E. Pichler
  • I. Rodchenkov
  • A. Splendiani
  • S. Tkachev
  • J. Zucker
  • G. Gopinath
  • H. Rajasimha
  • R. Ramakrishnan
  • I. Shah
  • M. Syed
  • N. Anwar
  • O. Babur
  • M. Blinov
  • E. Brauner
  • D. Corwin
  • S. Donaldson
  • F. Gibbons
  • R. Goldberg
  • R. Hornbeck
  • A. Luna
  • P. Murray-Rust
  • E. Neumann
  • O. Reubenacker
  • M. Samwald
  • M. van Iersel
  • S. Wimalaratne
  • K. Allen
  • B. Braun
  • M. Whirl-Carrillo
  • K. H. Cheung
  • Kam D Dahlquist, Loyola Marymount University
  • A. Finney
  • M. Gillespie
  • E. Glass
  • L. Gong
  • M. Honig
  • O. Hubaut
  • D. Kane
  • S. Krupa
  • M. Kutmon
  • J. Leonard
  • D. Marks
  • D. Merberg
  • V. Petri
  • A. Pico
  • D. Ravenscroft
  • L. Ren
  • N. Shah
  • M. Sunshine
  • R. Tang
  • R. Whaley
  • S. Letovksi
  • K. H. Buetow
  • A. Rzhetsky
  • V. Schachter
  • B. S. Sobral
  • U. Dogrusoz
  • S. McWeeney
  • M. Aladjem
  • E. Birney
  • J. Collado-Vides
  • S. Goto
  • M. Hucka
  • N. Le Novère
  • N. Maltsev
  • A. Pandey
  • P. Thomas
  • E. Wingender
  • P. D. Karp
  • C. Sander
  • G. D. Bader
Document Type
Article
Publication Date
9-1-2010
Disciplines
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.
Citation Information

Dahlquist, Kam [et al]. 2010."The BioPAX Community Standard for Pathway Data Sharing." Nature Biotechnology 28 (9): 935-42.