The BioPAX community standard for pathway data sharing

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. RodchenkovA. 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, P. Hornbeck, A. Luna, P. Murray Rust, E. Neumann, O. Reubenacker, M. Samwald, M.P. van Iersel, S. Wimalaratne, K. Allen, B. Braun, M. Whirl Carrillo, K. H. Cheung, K. Dahlquist, A. Finney, M. Gillespie, E. Glass, L. Gong, R. Haw, 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. Letovksy, 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 Novere, N. Maltsev, A. Pandey, P. Thomas, E. Wingender, P. D. Karp, C. Sander, G.D. Bader*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-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)935-42
JournalNature Biotechnology
Volume28
Issue number9
DOIs
Publication statusPublished - 1 Jan 2010

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