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Getting Started using Genstat for Microarray Analysis

The microarray menus provide facilities for the design and analysis of microarray experiments. Microarray experiments are used in genetics to screen RNA samples for tissues/cell cultures/individuals against libraries of DNA/RNA samples/fragments.

Two Channel Microarrays

The microarray menus have been designed so that you can progress easily through each step of an analysis. For example, the first submenu is for designing an experiment. This is followed by a submenu for importing data and then calculating log-ratios. Further submenus are available for exploring the data and then normalizing. The Analysis submenu can be used to estimate the effects and perform empirical Bayes estimation to add power from the parallelism of the many probes. The False Discovery rate can then be accessed to aid in deciding how many probes to follow up. The final two submenus can be used to graphically visualize the results and to cluster probes and targets to look at groups or for structure in the experiment.

Design

Two Channel Microarray Design
Data
Open Microarray Data Files
Calculate
Microarray Log-Ratios
Explore
Histograms
Density Plot
2D Plots
Spatial Plot
Normalize
Normalize Two Channel Microarray data
Analysis
Estimates from Log-Ratios
Empirical Bayes Estimates
False Discovery Rate using Mixture Model
Display
Volcano Plot
Q-Q plot
Cluster
Cluster Probes/Genes
Cluster Targets/Slides
Two-way Clustering

Click here to view an example of how the menus can be used to analyse a two channel microarray experiment.

One Channel Microarrays

Data
Open Microarray Data Files
Calculate
Calculate Affymetrix Expression Values
Explore
Histograms
Density Plot
Spatial Plot
Normalize
One channel Quantile Normalization
Analysis
One Channel ANOVA
Empirical Bayes Estimates
False Discovery Rate using Mixture Model
Display
Volcano Plot
Q-Q plot
Cluster
Cluster Probes/Genes
Cluster Targets/Slides
Two-way Clustering

Click here to view an example of how the menus can be used to analyse an Affymetrix microarray experiment.

Updated on April 29, 2019

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