Literature DB >> 17921998

The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics.

Andrew R Jones1, Michael Miller, Ruedi Aebersold, Rolf Apweiler, Catherine A Ball, Alvis Brazma, James Degreef, Nigel Hardy, Henning Hermjakob, Simon J Hubbard, Peter Hussey, Mark Igra, Helen Jenkins, Randall K Julian, Kent Laursen, Stephen G Oliver, Norman W Paton, Susanna-Assunta Sansone, Ugis Sarkans, Christian J Stoeckert, Chris F Taylor, Patricia L Whetzel, Joseph A White, Paul Spellman, Angel Pizarro.   

Abstract

The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental activity that are common across different technologies, including protocols, samples and data. FuGE provides a foundation for describing entire laboratory workflows and for the development of new data formats. The Microarray Gene Expression Data society and the Proteomics Standards Initiative have committed to using FuGE as the basis for defining their respective standards, and other standards groups, including the Metabolomics Standards Initiative, are evaluating FuGE in their development efforts. Adoption of FuGE by multiple standards bodies will enable uniform reporting of common parts of functional genomics workflows, simplify data-integration efforts and ease the burden on researchers seeking to fulfill multiple minimum reporting requirements. Such advances are important for transparent data management and mining in functional genomics and systems biology.

Mesh:

Year:  2007        PMID: 17921998     DOI: 10.1038/nbt1347

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  38 in total

1.  BioQ: tracing experimental origins in public genomic databases using a novel data provenance model.

Authors:  Scott F Saccone; Jiaxi Quan; Peter L Jones
Journal:  Bioinformatics       Date:  2012-03-16       Impact factor: 6.937

2.  Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base.

Authors:  Jiye Ai; Barry Smith; David T Wong
Journal:  BMC Bioinformatics       Date:  2010-06-03       Impact factor: 3.169

3.  Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).

Authors:  Eric W Deutsch; Catherine A Ball; Jules J Berman; G Steven Bova; Alvis Brazma; Roger E Bumgarner; David Campbell; Helen C Causton; Jeffrey H Christiansen; Fabrice Daian; Delphine Dauga; Duncan R Davidson; Gregory Gimenez; Young Ah Goo; Sean Grimmond; Thorsten Henrich; Bernhard G Herrmann; Michael H Johnson; Martin Korb; Jason C Mills; Asa J Oudes; Helen E Parkinson; Laura E Pascal; Nicolas Pollet; John Quackenbush; Mirana Ramialison; Martin Ringwald; David Salgado; Susanna-Assunta Sansone; Gavin Sherlock; Christian J Stoeckert; Jason Swedlow; Ronald C Taylor; Laura Walashek; Anthony Warford; David G Wilkinson; Yi Zhou; Leonard I Zon; Alvin Y Liu; Lawrence D True
Journal:  Nat Biotechnol       Date:  2008-03       Impact factor: 54.908

Review 4.  Genotype-phenotype databases: challenges and solutions for the post-genomic era.

Authors:  Gudmundur A Thorisson; Juha Muilu; Anthony J Brookes
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

5.  MIFlowCyt: the minimum information about a Flow Cytometry Experiment.

Authors:  Jamie A Lee; Josef Spidlen; Keith Boyce; Jennifer Cai; Nicholas Crosbie; Mark Dalphin; Jeff Furlong; Maura Gasparetto; Michael Goldberg; Elizabeth M Goralczyk; Bill Hyun; Kirstin Jansen; Tobias Kollmann; Megan Kong; Robert Leif; Shannon McWeeney; Thomas D Moloshok; Wayne Moore; Garry Nolan; John Nolan; Janko Nikolich-Zugich; David Parrish; Barclay Purcell; Yu Qian; Biruntha Selvaraj; Clayton Smith; Olga Tchuvatkina; Anne Wertheimer; Peter Wilkinson; Christopher Wilson; James Wood; Robert Zigon; Richard H Scheuermann; Ryan R Brinkman
Journal:  Cytometry A       Date:  2008-10       Impact factor: 4.355

Review 6.  Integration and analysis of genome-scale data from gliomas.

Authors:  Gregory Riddick; Howard A Fine
Journal:  Nat Rev Neurol       Date:  2011-07-05       Impact factor: 42.937

7.  FuGEFlow: data model and markup language for flow cytometry.

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

8.  BioTorrents: a file sharing service for scientific data.

Authors:  Morgan G I Langille; Jonathan A Eisen
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

9.  iLAP: a workflow-driven software for experimental protocol development, data acquisition and analysis.

Authors:  Gernot Stocker; Maria Fischer; Dietmar Rieder; Gabriela Bindea; Simon Kainz; Michael Oberstolz; James G McNally; Zlatko Trajanoski
Journal:  BMC Bioinformatics       Date:  2009-11-26       Impact factor: 3.169

10.  Head in the clouds: Re-imagining the experimental laboratory record for the web-based networked world.

Authors:  Cameron Neylon
Journal:  Autom Exp       Date:  2009-10-29
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