the gene ontology : a real-life ontology, progress and future

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The Gene Ontology: a real- life ontology, progress and future. Jane Lomax EMBL-EBI

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The Gene Ontology : a real-life ontology, progress and future. Jane Lomax EMBL-EBI. What is the Gene Ontology?. Controlled vocabulary - GO Terms and relationships Bottom-up approach Annotation of proteins to terms Gene association files Software/database development Freely available. - PowerPoint PPT Presentation

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Page 1: The Gene Ontology : a real-life ontology, progress and future

The Gene Ontology: a real-life ontology, progress and future.

Jane Lomax EMBL-EBI

Page 2: The Gene Ontology : a real-life ontology, progress and future

What is the Gene Ontology?

Controlled vocabulary - GO– Terms and relationships– Bottom-up approach

Annotation of proteins to terms– Gene association files

Software/database development Freely available

Page 3: The Gene Ontology : a real-life ontology, progress and future

The vocabulary

GO is divided into three sub-vocabularies:– biological process

• broad series of events, can either be at the level of the cell or organism e.g. circulation, glycolysis

– molecular function• direct activities e.g. catalysis, binding

– cellular component• site of action e.g. nucleus, ribosome

Page 4: The Gene Ontology : a real-life ontology, progress and future

The vocabulary

Hierarchical

Directed Acyclic Graph– terms have one or more parents

is-a and part-of relations

Page 5: The Gene Ontology : a real-life ontology, progress and future

http://www.godatabase.org/cgi-bin/go.cgi

Page 6: The Gene Ontology : a real-life ontology, progress and future

How is GO maintained?

Several full-time editors Requests from community

– database curators, researchers, software developers

– SourceForge tracker GO Consortium meetings for large

changes Mailing lists

Page 7: The Gene Ontology : a real-life ontology, progress and future

OBO - Open Biological Ontologies

GO is a member vocabulary of OBO A repository for biological structured

vocabularies– Freely available without license– Common syntax– Orthogonal to existing ontologies

http://obo.sourceforge.net/

Page 8: The Gene Ontology : a real-life ontology, progress and future

Future developments

File format– Current GO flat file format

• partly redundant• difficult to parse

– New format• Extensible e.g. new relationship types can be specified• minimal redundancy, but human readable• easier to parse

Moving to a database being the primary form of GO

Page 9: The Gene Ontology : a real-life ontology, progress and future

Formalizing GO

Informality is a common criticism of GO– developed by biologists, for biologists

Now beginning work ‘decomposing’ GO using ProLog– Terms broken down into constituent parts e.g.

regulation of heart development– New terms could be created from orthogonal

ontologies e.g. anotomical Work translating GO in DL, reasoning across

the ontologies

Page 10: The Gene Ontology : a real-life ontology, progress and future

GO into UMLS

GO now released as part of the NLM’s Unified Medical Language System Metathesaurus

Links biomedical vocabularies including MeSH and SNOMED.

The process of including GO in UMLS highlighted problems in both systems

Page 11: The Gene Ontology : a real-life ontology, progress and future

GO synonyms

Text strings associated with GO terms Often do not have identical meaning to

term Reduces utility in e.g. semantic

matching Developed relationships between terms

and synonyms– soon to be fully implemented in GO

Page 12: The Gene Ontology : a real-life ontology, progress and future

www.geneontology.org•FlyBase & Berkeley Drosophila Genome Project

•Saccharomyces Genome Database

• PomBase (Sanger Institute)

• Rat Genome Database

• Genome Knowledge Base (CSHL)

• The Institute for Genomic Research

• Compugen, Inc

•The Arabidopsis Information Resource

•WormBase

•DictyBase

•Mouse Genome Informatics

•Swiss-Prot/TrEMBL/InterPro

•Pathogen Sequencing Unit (Sanger Institute)

The Gene Ontology Consortium is supported by an R01 grant from the National Human Genome Research Institute (NHGRI) [grant HG02273]. SGD is supported by a P41, National Resources, grant from the NHGRI [grant HG01315]; MGD by a P41 from the NHGRI [grant HG00330]; GXD by the National Institute of Child Health and Human Development [grant HD33745]; FlyBase by a P41 from the NHGRI [grant HG00739] and by the Medical Research Council, London. TAIR is supported by the National Science Foundation [grant DBI-9978564]. WormBase is supported by a P41, National Resources, grant from the NHGRI [grant HG02223]; RGD is supported by an R01 grant from the NHLBI [grant HL64541]; DictyBase is supported by an R01 grant from the NIGMS [grant GM064426].