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Using Gene Ontology

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Rat Rat Genome Database. http://rgd.mcw.edu/ Fly FlyBase. http: ... http://www.yeastgenome.org/ Affymetrix chips Netaffx. http://www.affymetrix.com ... – PowerPoint PPT presentation

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Title: Using Gene Ontology


1
Using Gene Ontology
2
Assigning (or Hypothesizing About) Biological
Meaning to Clusters
  • What do you want to be able to to?
  • Identify over-represented functional categories
    in the clusters (i.e., cluster contains may more
    genes known to be involved in a specific
    biological process than would be expected by
    chance)
  • Why do you want to be able to do this?
  • If you find a gene of unknown function in a
    cluster of genes in which a known function is
    overrepresented, your gene of unknown function
    may have the same or a related function!
  • Requirements for systematic analysis
  • Standard assignment of genes into functional
    categories
  • Gene Ontology or GO project at NCBI
  • Controlled vocabulary for describing biological
    processes (protein biosynthesis\translation,
    apoptosis\programmed cell death)

3
Gene Ontology (GO) projecthttp//www.geneontology
.org/
  • Purpose
  • 1) Establish a unified framework for
    organism-independent gene annotation
  • 2) Define controlled terms (ontologies) for
    description of gene products from 3 aspects
  • Biological process (DNA repair, mitosis)
  • Molecular function (protein serine/threonine
    kinase activity, transcription factor activity)
  • Cellular component (nucleus, ribosome)
  • Characteristics
  • 1) A gene can have multiple associations in each
    ontology
  • 2) GO terms are organized in hierarchical
    structures called directed acyclic graphs (DAGs)
  • - The most general classifications are at top
    levels of the graph
  • - More specialized classifications at lower
    levels

4
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5
Example Cluster 3, 95 genes
6
Identifying enriched GO categories in clusters
  • In the previous example
  • Total number of chips genes with annotation
    5000
  • Remember, some genes may be of unknown function
    and not be annotated.
  • Total number of chips genes associated with
    metabolism GO category 3,600 (72)
  • Number of annotated genes in cluster 3 73
  • Number of metabolic genes in cluster 3 50 (68)
  • Is it reasonable to assume that genes in Cluster
    3 are enriched for metabolic function?
  • Statistical tests are essential to determine
    whether enrichment of a certain class of proteins
    is significant

7
Online Databases that annotate genes by GO
  • Human
  • Entrez http//www.ncbi.nih.gov/entrez/query.fcgi?d
    bgene
  • GOA http//www.ebi.ac.uk/GOA/
  • Mouse Mouse Genome Informatics (MGI)
  • http//www.informatics.jax.org/
  • Rat Rat Genome Database
  • http//rgd.mcw.edu/
  • Fly FlyBase
  • http//flybase.bio.indiana.edu/
  • Arabidopsis TAIR
  • http//www.arabidopsis.org/
  • Yeast Sacchromaces Genome Database
  • http//www.yeastgenome.org/
  • Affymetrix chips Netaffx
  • http//www.affymetrix.com
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