MOTIVATION: As the scientific curiosity in genome studies shifts toward identification of functions of the genomes in large scale, data produced about cellular processes at molecular level has been accumulating with an accelerating rate. In this regard, it is essential to be able to store, integrate, access and analyze this data effectively with the help of software tools. Clearly this requires a strong ontology that is intuitive, comprehensive and uncomplicated. RESULTS: We define an ontology for an intuitive, comprehensive and uncomplicated representation of cellular events. The ontology presented here enables integration of fragmented or incomplete pathway information via collaboration, and supports manipulation of the stored data. In addition, it facilitates concurrent modifications to the data while maintaining its validity and consistency. Furthermore, novel structures for representation of multiple levels of abstraction for pathways and homologies is provided. Lastly, our ontology supports efficient querying of large amounts of data. We have also developed a software tool named pathway analysis tool for integration and knowledge acquisition (PATIKA) providing an integrated, multi-user environment for visualizing and manipulating network of cellular events. PATIKA implements the basics of our ontology.
MOTIVATION: As the scientific curiosity in genome studies shifts toward identification of functions of the genomes in large scale, data produced about cellular processes at molecular level has been accumulating with an accelerating rate. In this regard, it is essential to be able to store, integrate, access and analyze this data effectively with the help of software tools. Clearly this requires a strong ontology that is intuitive, comprehensive and uncomplicated. RESULTS: We define an ontology for an intuitive, comprehensive and uncomplicated representation of cellular events. The ontology presented here enables integration of fragmented or incomplete pathway information via collaboration, and supports manipulation of the stored data. In addition, it facilitates concurrent modifications to the data while maintaining its validity and consistency. Furthermore, novel structures for representation of multiple levels of abstraction for pathways and homologies is provided. Lastly, our ontology supports efficient querying of large amounts of data. We have also developed a software tool named pathway analysis tool for integration and knowledge acquisition (PATIKA) providing an integrated, multi-user environment for visualizing and manipulating network of cellular events. PATIKA implements the basics of our ontology.
Authors: Nicolas Le Novère; Michael Hucka; Huaiyu Mi; Stuart Moodie; Falk Schreiber; Anatoly Sorokin; Emek Demir; Katja Wegner; Mirit I Aladjem; Sarala M Wimalaratne; Frank T Bergman; Ralph Gauges; Peter Ghazal; Hideya Kawaji; Lu Li; Yukiko Matsuoka; Alice Villéger; Sarah E Boyd; Laurence Calzone; Melanie Courtot; Ugur Dogrusoz; Tom C Freeman; Akira Funahashi; Samik Ghosh; Akiya Jouraku; Sohyoung Kim; Fedor Kolpakov; Augustin Luna; Sven Sahle; Esther Schmidt; Steven Watterson; Guanming Wu; Igor Goryanin; Douglas B Kell; Chris Sander; Herbert Sauro; Jacky L Snoep; Kurt Kohn; Hiroaki Kitano Journal: Nat Biotechnol Date: 2009-08-07 Impact factor: 54.908
Authors: Bohua Yu; Elvis Jakupovic; Justin Wilson; Manhong Dai; Weijian Xuan; Barbara Mirel; Brian Athey; Stanley Watson; Fan Meng Journal: Summit Transl Bioinform Date: 2008-03-01
Authors: 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; Ozgün Babur; Michael Blinov; Erik Brauner; Dan Corwin; Sylva Donaldson; Frank Gibbons; Robert Goldberg; Peter Hornbeck; Augustin Luna; Peter Murray-Rust; Eric Neumann; Oliver Ruebenacker; 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 Journal: Nat Biotechnol Date: 2010-09-09 Impact factor: 54.908
Authors: Zhenjun Hu; David M Ng; Takuji Yamada; Chunnuan Chen; Shuichi Kawashima; Joe Mellor; Bolan Linghu; Minoru Kanehisa; Joshua M Stuart; Charles DeLisi Journal: Nucleic Acids Res Date: 2007-06-22 Impact factor: 16.971