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ArrayStar has established its reputation as an easy-to-use gene expression analysis software package that is brimming with visualization tools to help you analyze your microarray data, including Venn diagrams, a scatter plot, heat maps and line graphs for clustering, and a gene ontology tree. Use statistical tools in conjunction with the visualizations to isolate gene sets of interest and identify their biological significance. ArrayStar also offers the optional QSeq application, for RNA-Seq, ChIP-Seq, and miRNA analysis. To learn more, see the Features or Resources tabs below.


Features

Gene Ontology

  • Identify relationships between genes with particular biological functions. Video See it!
  • Determine the relative importance of genes in specific processes using the numerous statistical comparisons shown in the association tree.
  • Download the gene ontology tree structure from the Gene Ontology Consortium. View its full name, ID and description when you hover over the term.

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    Visualizations

  • Visualize the expression level changes in individual genes over the course of the experiment through the use of line graphs. 
  • Multi-functional scatter plots can be generated to easily select groups of genes for analysis. Selected genes are shown in white.Video See it!
  • Undock and move views out of the main window so that you can have several views displayed on your screen simultaneously. All views are interactive, so that subsets of genes selected in one view will be selected in all other views.

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    Data Analysis

  • After importing data from a variety of formats, select the normalization method to be applied to your data; RMA, PLIER, quantile normalization, or average summarization.
  • Cluster your data using hierarchical clustering or k-means.  By default, hierarchical groups are displayed on the heat map and k-means groups are displayed as line graph thumbnails.Video See it!
  • Use statistical analysis tools and techniques to assist with your gene selection studies. ArrayStar's filtering capabilities allow users to quickly examine and re-examine data based on different experimental assumptions.

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    Tabular Views

  • View detailed information for every gene as well as any annotations that are available from imported sources, such as gene names and gene ontology.
  • The experiment list view allows you to import and manage the data within your project. Categories or groupings of experiments appear as folders.
  • Organize, manage, and print your gene sets from the Gene Set List view.   A list of all genes within each set is also shown in this view.  

    • Resources

    Resources

    Whether you are a long time customer, or are just starting to learn about ArrayStar, you may find some of the following resources helpful:

    Technical Requirements

    Licensing Options

    FAQs

    Assistance in Grant Preparation

    Solutions:

    Identifying Gene Expression Patterns

    Identifying Groups of Co-regulated Genes

    Gene Ontology Association Analysis

    Training Videos:

    Basic Project Setup

    Product Literature:

    ArrayStar Data Sheet

    ArrayStar Installation Guide

    ArrayStar Tutorials

    ArrayStar Tutorial Data

    For additional resources, please see our Support page.

     

     

    Try It

    Try ArrayStar for Free!

    Request a fully functional free trial of ArrayStar to try it out for yourself.

     

    Free Trial for Windows


    Buy It

    Ready to Buy?

    To purchase ArrayStar, please fill out our brief quote request form. Request a quote for ArrayStar only, or add other DNASTAR products at a multiple pricing discount.