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Title: midterm project


1
midterm project
  • Course Statistics in Bioinformatics
  • Date20070430
  • ???? ???
  • ?? ???

2
midterm project
  • Course Statistics in Bioinformatics
  • Date20070507
  • ???? ???
  • ?? ???

3
GEO
  • In National Center for Biotechnology Information
    (NCBI)

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Figure 4
  • Schematic overview of the query workflow, and how
    the various features and tools are interlinked.

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Figure 4
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GEO Database
  • www.ncbi.nlm.nih.gov/geo
  • The Gene Expression Omnibus (GEO) is a public
    repository(database) that archives and freely
    distributes highthroughput
  • gene expression data submitted by the scientific
    community.

9
Figure 1
  • Schematic diagram of the relations between GEO
    Platform, Sample, DataSet, and Profiles. For each
    gene on a Platform, multiple Sample measurement
    values are generated. Related Samples constitute
    a DataSet, from which multiple gene expression
    profile entities are generated.

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Figure 2
  • Screenshot of a typical DataSet record GDS877
    (Gonzalez et al., 2005). The record includes a
    summary of the experiment, links to related
    records and publications, subset designations and
    classifications, download options, and access to
    mining features such as cluster heat maps and
    Query group A vs B tool.

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Figure 3
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Figure 3
  • Screenshot of Entrez GEO Profiles retrieval
    results each entity includes sequence identifier
    and DataSet information, and a tiny profile
    image. Links to other Entrez databases or related
    profiles are provided above the thumbnail image.
    The expanded profile chart depicts values (bars)
    and rank (squares) information for the crystallin
    gene across each Sample in GEO DataSet GDS877
    (Gonzalez et al., 2005). Experimental subset
    groupings are reflected in labels at foot of
    chart.

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Who can use GEO data?
  • Anybody can access and download public GEO data.
    There are no login requirements. All data are in
    the public domain, but please read our data
    disclaimer.

14
How can I query and analyze GEO data?
  • Several features are provided to assist with the
    exploration, visualization, and analysis of GEO
    data. These include individual gene expression
    profile charts, DataSet hierarchical and
    K-means/median clusters, DataSet value
    distribution charts, a 'Query mean group A vs B'
    tool, and profile and sequence neighbor searches.
    Alternatively, full text, tab-delimited value
    data tables provided with DataSet downloads
    (available on the DataSet record, or via FTP) may
    prove suitable for upload into your favorite
    microarray analysis software package. Please see
    the overview or recent publications for more
    information.
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