Cellular Overview and Omics Viewer - PowerPoint PPT Presentation

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Cellular Overview and Omics Viewer

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Lines are reactions, nodes are biochemical species (compounds, proteins) ... Zoom. Pop up pathways. Indicate pathway connections (clear in overview menu) More ... – PowerPoint PPT presentation

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Title: Cellular Overview and Omics Viewer


1
Cellular Overview and Omics Viewer
2
The Cellular Overview Diagram
  • A way to quickly visualize an organisms
    metabolism
  • Generated automatically by Pathway Tools
  • Can be a static display or a dataset viewing tool

3
Organization of the Overview
  • Lines are reactions, nodes are biochemical
    species (compounds, proteins)
  • Theres a legend explaining symbols used
  • Includes metabolic and transport reactions
  • Pathways grouped functionally
  • Anabolism on the left, catabolism on the right,
    energy in the middle
  • Gray backgrounds indicate more specific
    functional groups
  • Non-pathway reactions on far right
  • Generally, pathways flow downward

4
Physical Location in the Overview
  • Non-cytoplasmic proteins with known locations
    shown
  • In E. coli, that means periplasmic, cell and
    outer membrane
  • This includes proteins with no associated
    reaction
  • Cytoplasmic proteins with enzymatic activities
    shown
  • Non-enzymatic cytoplasmic proteins left off to
    avoid clutter
  • Compare the gram-positive B. anthracis
  • Note pathway holes visualized as gray lines
  • OverviewgtShow/Hide Transport Links

5
Mousing Over in the Overview
  • Mousing over a gray backing tells you the pathway
    class
  • Mousing over a node gives compound name and
    pathway
  • Mousing over a line gives similar information
  • Can click through from anything to the PGDB
  • Can right-click to
  • Zoom
  • Pop up pathways
  • Indicate pathway connections (clear in overview
    menu)
  • More

6
Highlighting in the Overview
  • OverviewgtHighlightgtmany options
  • Pathway by class (biosynthesis gt all gt select
    all)
  • Reactions gt All without EC numbers (note second
    color)
  • Note all reaction options (many!)
  • Reactions gt By modulation
  • Can clear highlighting at any time
  • Can save highlighting to file for later use
  • Can do Genes and Compounds as well
  • Can pull information from a file, or from answer
    list

7
Highlighting to Compare Organisms
  • Look at shared or nonshared reactions
  • Example E. coli reactions shared with humans
  • Example switch to B. anthracis
  • Reactions not shared with (human and coli)
  • Set from Any to All
  • One way to think about drug targeting, e.g.
  • Quick note cross-species comparison from
    pathways
  • Go to this from individual pathway pages
  • Compares presence of pathway in question, and
    reactions of that pathway

8
The Omics Viewer
  • An intuitive, visual display of large data sets
  • Visualize any data that attaches numbers to
    genes, proteins or compounds
  • Proteomics, metabolomics, genomics
  • Accepts tab-delimited and SAM datasets

9
Using the Omics Viewer
  • OverviewgtOmics ViewergtText File / SAM Output
  • Single-time-point experiment
  • Choose display
  • Relative/absolute data
  • What kind of data?
  • Which column is the data in? (Object IDs must be
    in zero)
  • Color schemes
  • Default (not standard between different datasets)
  • Others (see next slide)

10
Omics Viewer Output
  • Data report
  • Total data rows
  • Data rows not shown
  • Data rows with invalid data
  • Color key
  • Display options
  • Set maximum cutoff for default color scheme (e.g.
    0.3)
  • Set manual color cutoffs (e.g. 0.3, 0.6, 0.9)
  • Both options let you compare different experiments

11
Viewing Multiple Data Sets
  • View as an Animation
  • Typically a time course, but does not have to be
  • Need to tell Pathway Tools which columns to use
  • Same output color / cutoff selections as single
    experiment
  • If you use automatic color scale, its set to the
    maximum shift in the experiment
  • Thus, all time points / data sets comparable
  • A good way to standardize across experiments
  • Can move between experiments/time points manually
  • Can save as HTML
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