Gene Ontology Consortium The Pathogen Group Schizosaccharomyces pombe Genome Sequencing Project DictyBase.

Slides:



Advertisements
Similar presentations
GO : the Gene Ontology “because you know sometimes words have two meanings” Amelia Ireland GO Curator EBI, Cambridge, UK.
Advertisements

Introduction to the Plant Ontology™ Laurel Cooper* 1, Justin Elser 1, Maria A. Gandolfo 3, Chris Mungall 4, Pankaj Jaiswal 1, Barry Smith 5, Dennis Wm.
Confessions/Disclaimers Ontologies and REDfly CARO SO OBO Foundry.
Linking Animal Models to Human Diseases Supported by NIH P41 HG and U54 HG the University of Oregon, Eugene, OR
Concepts and Connections
Alignment of Ontologies for Biological Research Judith A. Blake, Ph.D. Bioinformatics and Computational Biology The Jackson Laboratory.
CACAO - Remote training Gene Function and Gene Ontology Fall 2011
Extending to the GO model OBO open biology ontologies aka - extended go - (ego)
What is an ontology and Why should you care? Barry Smith with thanks to Jane Lomax, Gene Ontology Consortium 1.
CACAO - Remote training Gene Function and Gene Ontology Fall 2011
Phenotype annotation using ontologies Chris Mungall (+ BS) Berkeley Bioinformatics and Ontologies Project (BBOP) National Center for Biomedical Ontology.
Sequence-Structure-Function Sequence Structure Function Threading Ab initio BLAST Folding: impossible but for the smallest structures Function prediction.
OBO-Foundry. OBO was conceived and announced in in october 2001 Michael Ashburner and Suzanna Lewis with acknowledgements of others in the GO.
CACAO - Penn State Gene Function and Gene Ontology January 2011
Moving beyond free text. Authors Scientist does research Scientist publishes research results in journal article Old Paradigm:
Core 2: Bioinformatics CBio-Berkeley. Outline Berkeley group background Core 2 first round –what: aims, milestones –how: software lifecycle, interaction.
PATO An ontology for phenotypes. The development of PATO is the work of George Gkoutos, supported by the NCBO, working in Cambridge.
Using The Gene Ontology: Gene Product Annotation.
GO and OBO: an introduction. Jane Lomax EMBL-EBI What is the Gene Ontology? What is OBO? OBO-Edit demo & practical What is the Gene Ontology? What is.
The National Center for Biomedical Ontology Stanford – Berkeley Mayo – Victoria – Buffalo UCSF – Oregon – Cambridge.
The aims of the Gene Ontology project are threefold: - to compile vocabularies to describe components, functions and processes - to produce tools to query.
Chapters 19 - Genetic Analysis of Development: Development Development refers to interaction of then genome with the cytoplasm and external environment.
Amo amos amot amomus amotis amont. Happy birthday Swiss-Prot Fortaleza August 2006.
Open Biomedical Ontologies. Open Biomedical Ontologies (OBO) An umbrella project for grouping different ontologies in biological/medical field –a repository.
Resurrecting SOWG BS, Baltimore, CTS Ontology Workshop April
Only build an ontology if: You have a body of data to annotate.
Ontologies, data standards and controlled vocabularies.
PattArAn – From Annotation Triplets to Sentence Fingerprints Motivation Motivation  Scientific concepts are annotated with controlled vocabulary (CV)
Gene Ontology Consortium
Cell Ontology 2.0 Elimination of multiple is_a inheritance through instantiation of relationships to terms in outside ontologies, such as the GO cellular.
Gene Expression Data Annotation – an application of the cell type ontology Helen Parkinson, PhD 19 May 2010.
The Gene Ontology: a real-life ontology, progress and future. Jane Lomax EMBL-EBI.
The Gene Ontology project Jane Lomax. Ontology (for our purposes) “an explicit specification of some topic” – Stanford Knowledge Systems Lab Includes:
Gene Ontology TM (GO) Consortium Jennifer I Clark EMBL Outstation - European Bioinformatics Institute (EBI), Hinxton, Cambridge CB10 1SD, UK Objectives:
1 of 38 Data Mining in Ensembl with BioMart. 2 of 38 Simple Text-based Search Engine.
Practical Ontologies Lessons from the GO February 2011.
Alan Ruttenberg PONS R&D Task force Alan Ruttenberg Science Commons.
Ontologies GO Workshop 3-6 August Ontologies  What are ontologies?  Why use ontologies?  Open Biological Ontologies (OBO), National Center for.
© 2015 W. H. Freeman and Company CHAPTER 1 The Genetics Revolution Introduction to Genetic Analysis ELEVENTH EDITION Introduction to Genetic Analysis ELEVENTH.
Gene Onotology Part 1: what is the GO? Harold J Drabkin Senior Scientific Curator The Jackson Laboratory Mouse Genome Informatics.
24th Feb 2006 Jane Lomax GO Further. 24th Feb 2006 Jane Lomax GO annotations Where do the links between genes and GO terms come from?
Sharing Ontologies in the Biomedical Domain Alexa T. McCray National Library of Medicine National Institutes of Health Department of Health & Human Services.
1 Gene function annotation. 2 Outline  Functional annotation  Controlled vocabularies  Functional annotation at TAIR  Resources and tools at TAIR.
GO terms implicitly refer to other term cysteine biosynthesis myoblast fusion hydrogen ion transporter activity snoRNA catabolism wing disc pattern formation.
The Plant Ontology: Development of a Reference Ontology for all Plants Plant Ontology Consortium Members and Curators*: Laurel D.
The Cell Ontology An ontology of cell types built by biologists for the needs of data annotation and analysis. The main branch organizes and enumerates.
Phenotype Ontology Meeting Cold Spring Harbor November 19-20th, 2005 The FlyBase Consortium: Harvard University University of Bloomington-Indiana University.
To Boldly GO… Amelia Ireland GO Curator EBI, Hinxton, UK.
Gene Ontology Project
What is an Ontology? A representation of knowledge in a domain In theory Thomas Gruber (1993) “An ontology is a formal, explicit specification of a shared.
About ontologies Melissa Haendel. And who am I that I am giving you this talk? Melissa Haendel Anatomist, developmental neuroscientist, molecular biologist,
Master headline RDFizing the EBI Gene Expression Atlas James Malone, Electra Tapanari
Scope of the Gene Ontology Vocabularies. Compile structured vocabularies describing aspects of molecular biology Describe gene products using vocabulary.
Eye  what kinds of things exist?  what are the relationships between these things? ommatidium sense organeye disc is_a part_of develops from A biological.
A database of biological pathways and processes (borrowed from a presentation created by Steve Jupe)
Chapters 19 - Genetic Analysis of Development:
Phenotype And Trait Ontology (PATO) and plant phenotypes
Building Ontologies with Basic Formal Ontology Barry Smith May 27, 2015.
Introduction Erik Segerdell Oregon Health & Science University RCN Meeting  NESCent  25 February 2011.
Developmental Genes and Evolution. Studying genetic mechanisms of change can provide insight into large-scale evolutionary change There is a connection.
T cells 34 terms for types of T cell currently exist in the Cell Ontology. Broadly divided into immature and mature subsets, and into alpha-beta and gamma-
Sequence-Structure-Function Sequence Structure Function Threading Ab initio BLAST Folding: impossible but for the smallest structures Function prediction.
Linking Animal Models and Human Diseases
Annotating with GO: an overview
The Gene Ontology Project
Many GO terms are implicitly composite
Overview Gene Ontology Introduction Biological network data
Patterns of Inheritance
GO/PO interconnections
Unit 6 “Complex Inheritance”
Presentation transcript:

Gene Ontology Consortium The Pathogen Group Schizosaccharomyces pombe Genome Sequencing Project DictyBase

Extending to the GO model OBO open biology ontologies aka - extended go - (ego)

obo obo.sf.net

Anatomy Ontologies For the representation of phenotypic and expression data. Now available for: Drosophila, Mus, C. elegans, Arabidopsis, Ozyra ….

cysteine biosynthesis (ChEBI) myoblast fusion (Cell Type Ontology) hydrogen ion transporter activity (ChEBI) snoRNA catabolism (Sequence Ontology) wing disc pattern formation (Drosophila anatomy) epidermal cell differentiation (Cell Type Ontology) regulation of flower development (Plant anatomy) interleukin-18 receptor complex (not yet in OBO) B-cell differentiation (Cell Type Ontology) Implicit ontologies within the GO:

B-cell differentiation lymphocyte differentiation lymphocyte B-cell GO CL is_a cell differentiation blood cell B-cell activation Integrating ontologies

[ Term ] id: GO: name: B-cell differentiation is_a: GO: ! B-cell activation is_a: GO: ! lymphocyte differentiation intersection_of: is_a GO: ! cell differentiation intersection_of: has_participant CL: ! B-cell [ Term ] id: CL: name: B-cell is_a: CL: ! lymphocyte develops_from: CL: ! B-lymphoblast Augmented GO Current CL

The next challenge A syntax and semantics for the description of phenotypic data.

value entity describes attribute has

Allele: cora[5]; Fbal: Reference: Fbrf: ; PUBMED: Entity: dorsal closure; Attribute: completion; Value: incomplete Entity: cuticle; Attribute: relative_thickness; Value: thin Entity: cuticle; Attribute: structure; Value: necrotic Entity: trachea; Attribute: inflation; Value: abnormal Entity: septate junction; Attribute: structure; Value: abnormal Entity: salivary gland; Attribute: permeability; Value: impermeable Entity: epithelium; Attribute: permeability; Value: impermeable

gene: SHH; OMIM: syndrome: holoprosencephaly 3; OMIM: disease: Holoprosencephaly ; DOID: Reference: OMIM: Reference: Entity: prosencephalon development ; Attribute: process; Value: arrested Entity: brain ; Attribute: relative_size ; Value: small Entity: brain ventricle ; Attribute: number ; Value: single Entity: skull ; Attribute: morphology ; Value: abnormal Entity: midface ; Attribute: structure ; Value: hypoplastic Entity: eye ; Attribute: morphology ; Value: abnormal Entity: eye ; Attribute: number ; Value: single Entity: eye ; Attribute: placement ; Value: mislocalized Entity: nose ; Attribute: morphology ; Value: abnormal Entity: nostril ; Attribute: number ; Value: single Entity: upper lip ; Attribute: morphology ; Value: cleft Entity: kidney ; Attribute: relative_size ; Value: hypertrophied

1.Development of phenotype and associated ontologies. 2.Retrofit FlyBase phenotype curation with PO. 3.Curation of OMIM diseases with PO. 4.Emphasis on genes with clear fly/human homologs.