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Ontology for Biomedical Investigation

The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific.

Ontology info

Ontology id: obi
Version: 2017-11-07
Number of terms: 3327
Last loaded: Wed Nov 15 04:45:46 GMT 2017

Format

OWL-DL

Contributor

Advisors for this project come from the IFOMIS group, Saarbruecken and from the Co-ODE group in Manchester

comment

Please cite the OBI consortium http://purl.obolibrary.org/obo/obi where traditional citation is called for. However it is adequate that individual terms be attributed simply by use of the identifying PURL for the term, in projects that refer to them.

Creator

Philip Lord

Richard Scheuermann

Eric Deutsch

Barry Smith

James Malone

Richard Bruskiewich

John Westbrook

Chris Taylor

Dirk Derom

Norman Morrison

Trish Whetzel

Bill Bug

Christian Bolling

Chris Mungall

Kevin Clancy

Ryan R. Brinkman

Elisabetta Manduchi

Bjoern Peters

Philippe Rocca-Serra

Melissa Haendel

Jie Zheng

Larisa Soldatova

Alan Ruttenberg

Holger Stenzhorn

Jennifer Fostel

Frank Gibson

Susanna-Assunta Sansone

Gilberto Fragoso

Allyson Lister

Liju Fan

Tina Hernandez-Boussard

Joe White

Matthew Brush

Melanie Courtot

James A. Overton

Dawn Field

Carlo Torniai

Cristian Cocos

Daniel Schober

Daniel Rubin

Helen Parkinson

Pierre Grenon

Monnie McGee

Robert Stevens

Yongqun He

Chris Stoeckert

Mervi Heiskanen

Jeffrey Grethe

Lawrence Hunter

Helen C. Causton

Jessica Turner

Luisa Montecchi

Jay Greenbaum

Stefan Wiemann

Matthew Pocock

Tanya Gray

Date

2009-07-31

Subject and Keywords

An ontology for the annotation of biomedical and functional genomics experiments.