Cell Ontology 2.0 Elimination of multiple is_a inheritance through instantiation of relationships to terms in outside ontologies, such as the GO cellular.

Slides:



Advertisements
Similar presentations
Annotation of Gene Function …and how thats useful to you.
Advertisements

More than one way to dissect an animal Melissa Haendel ZFIN Scientific Curator.
Representing Part Relationships Between Developing Structures.
Bridging Multiple Ontologies: Route to Representation of the Liver Immune Response Anna Maria Masci, Jeffrey Roach, Bernard de Bono, Pierre Grenon, Lindsay.
Linking Animal Models to Human Diseases Supported by NIH P41 HG and U54 HG the University of Oregon, Eugene, OR
Automated tools to help construction of Trait Ontologies Chris Mungall Monarch Initiative Gene.
Multiscale Information Modelling for Heart Morphogenesis Tariq Abdulla 13 th IMEKO TC1-TC7 Joint Symposium 02/09/2010.
What is an ontology and Why should you care? Barry Smith with thanks to Jane Lomax, Gene Ontology Consortium 1.
Abstract The Cell Ontology (CL) is a candidate OBO Foundry 1 ontology for the representation of in vivo cell types. As part of our work in redeveloping.
Room for Lunch: Arlington Room Room for Evening Reception: Grand Prairie Room.
Ontological Model for Colon Carcinoma: A Case Study for Knowledge Representation in Clinical Bioinformatics Kumar A 1,2, Yip L 3, Jaremek M 2, Scheib H.
Comprehensive Annotation System for Infectious Disease Data Alexander Diehl University at Buffalo/The Jackson Laboratory IDO Workshop /9/2010.
BTN323: INTRODUCTION TO BIOLOGICAL DATABASES Day2: Specialized Databases Lecturer: Junaid Gamieldien, PhD
Moving beyond free text. Authors Scientist does research Scientist publishes research results in journal article Old Paradigm:
The Plant Ontology: Linking Phenotypes and Genomics Across Plant Taxa Laurel D. Cooper* 1, Ramona L. Walls 2, Justin Elser 1, Justin Preece 1, Dennis W.
Linking Diseases and Genes through Informatics Knowledge Bases and Ontologies Joyce A. Mitchell, Ph.D. National Library of Medicine University of Missouri.
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.
Ontology and Phylogeny: Ontologies as research tools linking phylogenies, systematics, phenotypes, and genomics Brent D. Mishler University of California,
Amo amos amot amomus amotis amont. Happy birthday Swiss-Prot Fortaleza August 2006.
Terry Meehan Scientific Curator Mouse Genome Informatics The Jackson Laboratory Logical Definitions for Hematopoietic Cell Terms.
Hematopoietic Cell Types in the Cell Ontology Alexander D. Diehl 6/12/12.
Open Biomedical Ontologies. Open Biomedical Ontologies (OBO) An umbrella project for grouping different ontologies in biological/medical field –a repository.
Gene Expression and Cell Identity Alexander Diehl ImmPort Science Talk 3/20/14.
1 Building Communities Around Ontology Development Pankaj Jaiswal Dept. of Plant Breeding and Genetics Cornell University Ithaca, NY FAO,
GENE ONTOLOGY FOR THE NEWBIES Suparna Mundodi, PhD The Arabidopsis Information Resources, Stanford, CA.
Processes all living things carry out.
Leveraging Ontologies for Human Immunology Research Barry Smith, Alexander Diehl, Anna- Maria Masci Presented at Leveraging Standards and Ontologies to.
The Gene Ontology project Jane Lomax. Ontology (for our purposes) “an explicit specification of some topic” – Stanford Knowledge Systems Lab Includes:
What is an Ontology? An ontology is a specification of a conceptualization that is designed for reuse across multiple applications and implementations.
Gene Ontology TM (GO) Consortium Jennifer I Clark EMBL Outstation - European Bioinformatics Institute (EBI), Hinxton, Cambridge CB10 1SD, UK Objectives:
Ontology of Disease and the OBO Foundry Chris Mungall NCBO GO Nov 2006.
Alan Ruttenberg PONS R&D Task force Alan Ruttenberg Science Commons.
Sunday, July 22, 2012 Plan Areas of coverage: high-level neurological system process, inc. sensory perception, sensory processing, cognition transmission.
Ontologies GO Workshop 3-6 August Ontologies  What are ontologies?  Why use ontologies?  Open Biological Ontologies (OBO), National Center for.
Integrating the Cell Cycle Ontology with the Mouse Genome Database David R. Smith Mary Dolan Dr. Judith Blake.
Linking Animal Models and Human Diseases Supported by NIH P41 HG002659, U54 HG004028, & R01 HG Cambridge University & the University of Oregon.
DAVID R. SMITH DR. MARY DOLAN DR. JUDITH BLAKE Integrating the Cell Cycle Ontology with the Mouse Genome Database.
1 Gene function annotation. 2 Outline  Functional annotation  Controlled vocabularies  Functional annotation at TAIR  Resources and tools at TAIR.
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.
Digestion What goes in must come out. Maryland Science Content Standard Recognize and provide examples that human beings, like other organisms have complex.
To Boldly GO… Amelia Ireland GO Curator EBI, Hinxton, UK.
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.
CACAO Training Fall Community Assessment of Community Annotation with Ontologies (CACAO)
Ontologies Working Group Agenda MGED3 1.Goals for working group. 2.Primer on ontologies 3.Working group progress 4.Example sample descriptions from different.
Social Roles and Relationships.
Scope of the Gene Ontology Vocabularies. Compile structured vocabularies describing aspects of molecular biology Describe gene products using vocabulary.
Genetics Review Honors Human Anatomy & Physiology Mr. Mazza
Plant structure and growth stage ontologies to describe phenotypes and gene expression in angiosperms Pankaj Jaiswal Cornell University.
OBO Foundry Workshop 2009 Cell Ontology (CL) Preliminary review.
PATO and TO Barry Smith. HP: ! tachycardia =def. Process: GO: cardiac muscle contraction Quality: PATO: increased rate HP = Human.
1 An Introduction to Ontology for Scientists Barry Smith University at Buffalo
Tools in Bioinformatics Ontologies and pathways. Why are ontologies needed? A free text is the best way to describe what a protein does to a human reader.
Ontology Driven Data Collection for EuPathDB Jie Zheng, Omar Harb, Chris Stoeckert Center for Bioinformatics, University of Pennsylvania.
Basic Formal Ontology Barry Smith August 26, 2013.
Immunology Ontology Workshop Buffalo, NY June 11-13, 2012.
Building Ontologies with Basic Formal Ontology Barry Smith May 27, 2015.
The Cardiovascular Disease Ontology (CVDO) Mercedes Arguello Casteleiro 1, Julie Klein 2 and Robert Stevens 1 1 School of Computer Science, University.
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-
What’s Your Blood Type?. There two distinct chemical molecules present on the surface of the red blood cells. One labeled molecule “A” = Type A and the.
GO : the Gene Ontology & Functional enrichment analysis
Mental Functioning and the Gene Ontology
Saccharomyces Genome Database (SGD)
Department of Genetics • Stanford University School of Medicine
Functional Annotation of the Horse Genome
Higher Human Biology.
Phenotype Annotation at TAIR
Overview Gene Ontology Introduction Biological network data
What is an Ontology An ontology is a set of terms, relationships and definitions that capture the knowledge of a certain domain. (common ontology ≠ common.
OBO Foundry Update: April 2010
Presentation transcript:

Cell Ontology 2.0 Elimination of multiple is_a inheritance through instantiation of relationships to terms in outside ontologies, such as the GO cellular component, GO biological process, and the PATO phenotype ontologies. Outcome should be more ontologically correct, and more useful for data analysis. Process is likely to be slow, due to lack of personnel and funding to organize the work.

Goals for this Workshop (per Alex) Pragmatic Goal Extend the ontology in its current form to include additional immune cell types. Ideal Outcome Lay the groundwork for CL 2.0 in the area of immune cell types.

Use Cases for Cell Ontology 1.Annotation (ongoing for GO). 2.Cross product term formation with GO, MP, and other ontologies (ongoing). 3.Representation of Flow Cytometry Results. 4.Immune System Modeling. 5.IEDB annotation needs. 6.Other?

How do we describe Cells? Morphology Surface markers Transcription factors Location Role or process involvement Lineage

How do we describe Cells? Morphology Surface markers Transcription factors Location Role or process involvement Lineage Protein Ontology Anatomy Ontology GO Biological Process Link to external ontology

How do we describe Cells? Morphology Surface markers Transcription factors Location Role or process involvement Lineage expresses_protein located_in participates_in Link via specific relationships

Issues to Discuss 1.Distinction between ontology, knowledgebase, and vocabulary. 2.How much information is needed to describe a cell uniquely — to create a formal definition? 3.How to deal with species differences.