http://creativecommons.org/licenses/by-sa/2.0/. Bioinformatics. Prof:Rui Alves [email protected] 973702406 Dept Ciencies Mediques Basiques , 1st Floor , Room 1.08 Website:http :// web.udl.es / usuaris /pg193845/ testsite /
DeptCiencies Mediques Basiques,
1st Floor, Room 1.08
1 – Organize Knowledge
2 – Organize its transmission
(Read, write, count)
I need more data!!! How do I plan whatto do now?
Hey, it’sraining!!! Whydon’twe try and figure outhowallthelittle molecular pieces in a cellworktogether?!?!?!
I need more data!!! Whydon’ttheygiveitto me
PeopleorganizedtheKnowledgetransmissionsystem and itsconnectionsovermilenia of trial and error.
Itisimpossibleforpeopletoorganizethebiologicalknowledgebroughtaboutbyomics in the20 yearsthathavepassedsincethebeginning of theomics era.
A set of definitions of controlled vocabularies with hierarchical relationships to one another, that can easily be dealt with by computers
Biological Ontologies (Bio-ontologies) can be defined as a complex hierarchical structure in which biological concepts are described by their meanings (definitions) and relationships to each other.
There are many Bio-Ontologies available and in use by databases. The Plant Ontology, along with other ontologies such as the Gene Ontology, are included in the open source Open Biological Ontologies project at Sourceforge.
The most well-known example of a bio-ontology is the Gene Ontology (GO; http://www.geneontology.org) which describes three biological domains: cellular component (where the gene product locates), molecular function (what the gene product does) and biological process (the cellular, developmental or physiological events the gene product is involved in).
GO are used to describe gene products. Because these descriptions are independent of species-specific nomenclature and uniformly applied, it is possible to make meaningful and efficient comparisons of genes across diverse taxa.
IEA Inferred from Electronic Annotation
ISS Inferred from Sequence Similarity
IEP Inferred from Expression Pattern
IMP Inferred from Mutant Phenotype
IGI Inferred from Genetic Interaction
IPI Inferred from Physical Interaction
IDA Inferred from Direct Assay
RCA Inferred from Reviewed Computational Analysis
TAS Traceable Author Statement
NAS Non-traceable Author Statement
IC Inferred by Curator
ND No biological Data available
Detailed info available from: http://www.geneontology.org/doc/GO.evidence.html
All these classifications are reminiscente of the Dewey classification system for books!!!! (Remember public libraries?)