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The BioPAX community standard for pathway data sharing
Date Issued
2010
Author(s)
Demir, Emek
Cary, Michael P.
Paley, Suzanne
Fukuda, Ken
Lemer, Christian
Vastrik, Imre
Wu, Guanming
D'Eustachio, Peter
Schaefer, Carl
Luciano, Joanne
Schacherer, Frank
Martinez-Flores, Irma
Hu, Zhenjun
Jimenez-Jacinto, Veronica
Joshi-Tope, Geeta
Kandasamy, Kumaran
Lopez-Fuentes, Alejandra C.
Mi, Huaiyu
Pichler, Elgar
Rodchenkov, Igor
Splendiani, Andrea
Tkachev, Sasha
Zucker, Jeremy
Gopinath, Gopal
Rajasimha, Harsha
Ramakrishnan, Ranjani
Shah, Imran
Syed, Mustafa
Anwar, Nadia
Babur, Özgün
Blinov, Michael
Brauner, Erik
Corwin, Dan
Donaldson, Sylva
Gibbons, Frank
Goldberg, Robert
Hornbeck, Peter
Luna, Augustin
Murray-Rust, Peter
Neumann, Eric
Reubenacker, Oliver
Samwald, Matthias
van Iersel, Martijn
Wimalaratne, Sarala
Allen, Keith
Braun, Burk
Whirl-Carrillo, Michelle
Cheung, Kei-Hoi
Dahlquist, Kam
Finney, Andrew
Gillespie, Marc
Glass, Elizabeth
Gong, Li
Haw, Robin
Honig, Michael
Hubaut, Olivier
Kane, David
Krupa, Shiva
Kutmon, Martina
Leonard, Julie
Marks, Debbie
Merberg, David
Petri, Victoria
Pico, Alex
Ravenscroft, Dean
Ren, Liya
Shah, Nigam
Sunshine, Margot
Tang, Rebecca
Whaley, Ryan
Letovksy, Stan
Buetow, Kenneth H.
Rzhetsky, Andrey
Schachter, Vincent
Sobral, Bruno S.
Dogrusoz, Ugur
McWeeney, Shannon
Aladjem, Mirit
Birney, Ewan
Collado-Vides, Julio
Goto, Susumu
Hucka, Michael
Novère, Nicolas Le
Maltsev, Natalia
Pandey, Akhilesh
Karp, Peter D.
Sander, Chris
Bader, Gary D.
DOI
10.1038/nbt.1666
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.
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