Literature DB >> 16901224

FuGE: Functional Genomics Experiment Object Model.

Andrew R Jones1, Angel Pizarro, Paul Spellman, Michael Miller.   

Abstract

This is an interim report on the Functional Genomics Experiment (FuGE) Object Model. FuGE is a framework for creating data standards for high-throughput biological experiments, developed by a consortium of researchers from academia and industry. FuGE supports rich annotation of samples, protocols, instruments, and software, as well as providing extension points for technology specific details. It has been adopted by microarray and proteomics standards bodies as a basis for forthcoming standards. It is hoped that standards developers for other omics techniques will join this collaborative effort; widespread adoption will allow uniform annotation of common parts of functional genomics workflows, reduce standard development and learning times through the sharing of consistent practice, and ease the construction of software for accessing and integrating functional genomics data.

Mesh:

Year:  2006        PMID: 16901224     DOI: 10.1089/omi.2006.10.179

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  7 in total

1.  Behavioral interpretations of intrinsic connectivity networks.

Authors:  Angela R Laird; P Mickle Fox; Simon B Eickhoff; Jessica A Turner; Kimberly L Ray; D Reese McKay; David C Glahn; Christian F Beckmann; Stephen M Smith; Peter T Fox
Journal:  J Cogn Neurosci       Date:  2011-06-14       Impact factor: 3.225

2.  The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.

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

3.  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

4.  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

5.  An open-source representation for 2-DE-centric proteomics and support infrastructure for data storage and analysis.

Authors:  Romesh Stanislaus; John M Arthur; Balaji Rajagopalan; Rick Moerschell; Brian McGlothlen; Jonas S Almeida
Journal:  BMC Bioinformatics       Date:  2008-01-07       Impact factor: 3.169

6.  A novel information retrieval model for high-throughput molecular medicine modalities.

Authors:  Firas H Wehbe; Steven H Brown; Pierre P Massion; Cynthia S Gadd; Daniel R Masys; Constantin F Aliferis
Journal:  Cancer Inform       Date:  2009-02-09

7.  Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.

Authors:  Samuel Kerrien; Sandra Orchard; Luisa Montecchi-Palazzi; Bruno Aranda; Antony F Quinn; Nisha Vinod; Gary D Bader; Ioannis Xenarios; Jérôme Wojcik; David Sherman; Mike Tyers; John J Salama; Susan Moore; Arnaud Ceol; Andrew Chatr-Aryamontri; Matthias Oesterheld; Volker Stümpflen; Lukasz Salwinski; Jason Nerothin; Ethan Cerami; Michael E Cusick; Marc Vidal; Michael Gilson; John Armstrong; Peter Woollard; Christopher Hogue; David Eisenberg; Gianni Cesareni; Rolf Apweiler; Henning Hermjakob
Journal:  BMC Biol       Date:  2007-10-09       Impact factor: 7.431

  7 in total

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