MOTIVATION: Experimental design, hypothesis-testing and model-building in the current data-rich environment require the biologists' to collect, evaluate and integrate large amounts of information of many disparate kinds. Developing a unified framework for the representation and conceptual integration of biological data and processes is a major challenge in bioinformatics because of the variety of available data and the different levels of detail at which biological processes can be considered. RESULTS: We have developed the HyBrow (Hypothesis Browser) system as a prototype bioinformatics tool for designing hypotheses and evaluating them for consistency with existing knowledge. HyBrow consists of a modeling framework with the ability to accommodate diverse biological information sources, an event-based ontology for representing biological processes at different levels of detail, a database to query information in the ontology and programs to perform hypothesis design and evaluation. We demonstrate the HyBrow prototype using the galactose gene network in Saccharomyces cerevisiae as our test system, and evaluate alternative hypotheses for consistency with stored information. AVAILABILITY: www.hybrow.org
MOTIVATION: Experimental design, hypothesis-testing and model-building in the current data-rich environment require the biologists' to collect, evaluate and integrate large amounts of information of many disparate kinds. Developing a unified framework for the representation and conceptual integration of biological data and processes is a major challenge in bioinformatics because of the variety of available data and the different levels of detail at which biological processes can be considered. RESULTS: We have developed the HyBrow (Hypothesis Browser) system as a prototype bioinformatics tool for designing hypotheses and evaluating them for consistency with existing knowledge. HyBrow consists of a modeling framework with the ability to accommodate diverse biological information sources, an event-based ontology for representing biological processes at different levels of detail, a database to query information in the ontology and programs to perform hypothesis design and evaluation. We demonstrate the HyBrow prototype using the galactose gene network in Saccharomyces cerevisiae as our test system, and evaluate alternative hypotheses for consistency with stored information. AVAILABILITY: www.hybrow.org
Authors: Erick Antezana; Mikel Egaña; Ward Blondé; Aitzol Illarramendi; Iñaki Bilbao; Bernard De Baets; Robert Stevens; Vladimir Mironov; Martin Kuiper Journal: Genome Biol Date: 2009-05-29 Impact factor: 13.583
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: Anna Maria Masci; Cecilia N Arighi; Alexander D Diehl; Anne E Lieberman; Chris Mungall; Richard H Scheuermann; Barry Smith; Lindsay G Cowell Journal: BMC Bioinformatics Date: 2009-02-25 Impact factor: 3.169