Microarray Dataset Viewers

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Outline

In this section, various tools for visualizing microarray expression data will be introduced. Available options for each component will be depicted.

The visualizers displayed here are:

  • Microarray Viewer
  • Tabular Microarray Viewer
  • CEL file image viewer
  • Color Mosaic
  • Expression Profiles
  • Scatter Plot

The options for several of the components are set from the application toolbar preferences menu, which will also be explained.


Overview

Visualization tools provide a view of the microarray datasets under investigation and can be used e.g. for ascertaining the quality of the data. Activating marker and array/phenotype sets (Tutorial - Data Subsets) can be used to restrict the number of markers/arrays displayed. The images created can be saved and exported. A more detailed description of how to manipulate visualization components is given in the online help.


Microarray Viewer

Used to inspect data from each separate microarray using the Array scroll bar. Note that the markers (probes or probesets) are displayed in the order they appear in the dataset, and the image is not a physical representation of the microarray layout. The image can be saved into the Project Folders component under its parent dataset by right-clicking and selecting Save Image.

The viewing preference shown here is the "relative" display mode. See Preferences for switching between relative and absolute display modes.

T Microarray Viewer.png

Tabular Microarray Viewer

Presents the numerical values of the expression measurements in a table format. One row is created per individual marker/probe and one column per microarray.


T Tabular Microarray Viewer.png



CEL file image viewer

The Affymetrix CEL file contains a single intensity value calculated for each probe on the chip. It is derived from the raw image (.dat) file. Individual Affymetrix CEL files can be read into geWorkbench. They are displayed in the CEL file image viewer. This can be used to check for obvious problems such as fingerprints or uneven drying which could affect data quality. Note that is file is not an exact image of the chip, but a reconstructed image at the probe level. The CEL file image viewer component is simply a viewer, it does not permit any operations on the image.


T CEL viewer.png


Color Mosaic

Heat maps for microarray expression data, organized by phenotypic or gene groupings. The Display button causes the image to be displayed. The Label and Accession buttons display the marker name and accession number to the right of each row. The buttons Pat, Abs and Ratio are not currently used.


T Color Mosaic.png


Expression Profiles

For each active marker (default is all), a line showing the expression value vs array is graphed. Each marker is displayed with a separate color line. The Plot button must be pushed to draw the display. If a subset of markers has been activated, the number active is shown adjacent to the Markers label. Right-click options are shown.


T Expression Profiles.png


Scatter Plot

A pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values. The first marker selected serves as the x-axis reference, shown with a dark background; this can also be set by right-clicking and selecting the x-axis marker as shown). Subsequent arrays selected are plotted against this reference in different sub-images. Up to six sub-images can be created. Right-click options are shown in the second picture.


T Scatter Plot.pngT Scatter Plot2.png


Preparation

Load a microarray dataset, for example the file webmatrix_quantile_log2_dev1.2_mv0.exp that is included with the geWorkbench tutorial data Download.

Viewing a dataset

  1. In the View Area at the top-right section of the interface, select any viewer described above, for example the Microarray Viewer component.
  1. On several of the components, the All Markers and All Arrays checkboxes can be used to override the effects of activated sets, should they be in use. When no sets are activated, all markers or arrays will be used.


Allm.png


Preferences

The Preferences selection in the Tools menu allows users to specify how certain aspects of the system will behave. Once the preferences are set, they are persistent between application sessions.

Modifying Settings

  • From the main menu, click on Tools>Preferences.
  • In the Preferences pop-up window, you can define settings for:
    • Text Editor: The editor selected will be used to open and inspect data sets loaded in a project. Notepad is the default setting.
    • Visualization: The color scheme to be applied to color mosaic images.
      • Absolute: (default) Let M = max{|min|, |max|} over all expression measurements, across all arrays. If expression value x > 0, assign it the red spectrum x / M * 256. If expression value x is negative, assign it to the green spectrum -x / M * 256.
      • Relative: This is similar to the setting for Absolute, but each marker is mean-variance normalized first. A Red-Blue color scheme is used.
    • Genepix Value Computation: You can specify how to compute the value displayed for a Genepix array. The default setting is Option (Mean F635 - Mean B635) / (Mean F532 - Mean B532).
  • Click on OK.

Notes

  1. The Relative selection for the the Microarray Viewer preference will give odd-looking results if only a small number of arrays are loaded.
  2. Changing the Microarray Viewer relative/absolute preference will not take effect until the next time a data set is loaded.