MOTIVATION: The Functional Genomics Experiment Object Model (FuGE) supports modelling of experimental processes either directly or through extensions that specialize FuGE for use in specific contexts. FuGE applications commonly include components that capture, store and search experiment descriptions, where the requirements of different applications have much in common. RESULTS: We describe a toolkit that supports data capture, storage and web-based search of FuGE experiment models; the toolkit can be used directly on FuGE compliant models or configured for use with FuGE extensions. The toolkit is illustrated using a FuGE extension standardized by the proteomics standards initiative, namely GelML. AVAILABILITY: The toolkit and a demonstration are available at http://code.google.com/p/fugetoolkit
MOTIVATION: The Functional Genomics Experiment Object Model (FuGE) supports modelling of experimental processes either directly or through extensions that specialize FuGE for use in specific contexts. FuGE applications commonly include components that capture, store and search experiment descriptions, where the requirements of different applications have much in common. RESULTS: We describe a toolkit that supports data capture, storage and web-based search of FuGE experiment models; the toolkit can be used directly on FuGE compliant models or configured for use with FuGE extensions. The toolkit is illustrated using a FuGE extension standardized by the proteomics standards initiative, namely GelML. AVAILABILITY: The toolkit and a demonstration are available at http://code.google.com/p/fugetoolkit
Authors: Frank Gibson; Christine Hoogland; Salvador Martinez-Bartolomé; J Alberto Medina-Aunon; Juan Pablo Albar; Gyorgy Babnigg; Anil Wipat; Henning Hermjakob; Jonas S Almeida; Romesh Stanislaus; Norman W Paton; Andrew R Jones Journal: Proteomics Date: 2010-09 Impact factor: 3.984
Authors: Yu Qian; Olga Tchuvatkina; Josef Spidlen; Peter Wilkinson; Maura Gasparetto; Andrew R Jones; Frank J Manion; Richard H Scheuermann; Rafick-Pierre Sekaly; Ryan R Brinkman Journal: BMC Bioinformatics Date: 2009-06-16 Impact factor: 3.169