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The aims of the Gene Ontology project are threefold:

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... gene products with GO terms (annotation) GO employs three ontologies to describe gene product attributes: ... NUTRITIONAL COMPOSITION. DIET GO. RELATED PRODUCTS ... – PowerPoint PPT presentation

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Title: The aims of the Gene Ontology project are threefold:


1
The Gene Ontology is a structured controlled
vocabulary that can be used to describe gene
product attributes in the domains of function,
location and process in a species-neutral manner.
It is used by an ever-increasing number of
biological databases and has become the de facto
standard for the annotation of genes and gene
products. By providing a standardized biological
language, the GO facilitates the capture and
dissemination of information across species and
database boundaries.
The aims of the Gene Ontology project are
threefold - to compile vocabularies to describe
components, functions and processes - to produce
tools to query and annotate using GO - to
associate gene products with GO terms
(annotation) GO employs three ontologies to
describe gene product attributes Cellular
component the location of a gene product within
or outside a cell eg. extracellular,
mitochondrion, ribosome, enzyme complex Molecular
function elemental activities described at a
molecular level eg. glucose binding, carotenoid
isomerase activity, transporter
activity Biological process the bigger
picture the broader goal or purpose which
groups a set of functions eg. signal
transduction, behavior, glycolysis, regulation of
cell size GO terms are made up of a term name, a
unique ID, and (for 90 of terms) a definition.
GO terms may also have synonyms, which can be
either identical or related concepts the
relationship between the term and synonym is
stored in the ontology flat file. Additionally,
there may be cross-references to terms in other
databases (eg. MetaCyc metabolic pathways, EC
enzymes) if the GO term has an exact equivalent
in another classification system. GO terms are
linked together by two relationships, is-a and
part-of. The ontologies are in the form of a
directed acyclic graph, where any term may have
one or more parents and zero, one, or more
children. GO is hierarchical, meaning that child
terms are more specific than parent
terms. GO slims are low calorie
versions of GO which contain a set of high level
GO terms. You can build your own GO slim for your
organism or area of interest or use existing
generic or organism-specific GO slims. The
map2slim.pl script can be used to map an
annotation data set to GO slim terms to see an
overview of the distribution of annotations. GO
slims also serve as a good introduction to GO by
showing the high level concepts without all the
detail underneath. The GO Consortium is the
databases that contribute to the development of
the Gene Ontology. The current members are as
follows FlyBase Berkeley Drosophila Genome
Project Saccharomyces Genome Database Mouse
Genome Informatics The Arabidopsis Information
Resource WormBase EBI GOA project (UniProt
Knowledgebase, InterPro) Rat Genome
Database DictyBase GeneDB S. pombe GeneDB for
protozoa Genome Knowledgebase TIGR Gramene Compuge
n The Zebrafish Information Network
  • The following tools can be used to enjoy the Gene
    Ontology at its best
  • DAG-Edit (top right)
  • - standalone tool for creating, editing,
  • browsing and searching ontologies.
  • - includes dictionary, CVS, spellchecker
  • and GO database access plugins
  • - as used in the EBI GO editorial office
  • QuickGO (not pictured)
  • - fast web-based GO browser at the EBI
  • AmiGO (right and below)
  • web based or downloadable versions
  • accesses the GO database to provide
  • ontology and annotation information
  • - search/browse terms or gene products
  • - pie chart view of annotation distribution
  • - GOst blast server for querying GO DB

SERVING SUGGESTIONS
INGREDIENTS
The term information and position in the process
ontology of the GO term GO0042746.
DIET GO
COMMENTS, QUESTIONS OR SUGGESTIONS?
NUTRITIONAL COMPOSITION
RELATED PRODUCTS
Comprehensive details on the Gene Ontology can be
found on the GO website at http//www.geneontology
.org or from go_at_geneontology.org.
- Its the real thing.
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