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/ Home / Analysis Tools

Transcriptome plateform analysis tools

In this section of the website, you will find tutorials for DNA microarray analysis just as software and tools that we use on the microarray platform for DNA microarray analysis. All the references and the providers mentionned in the following pages are those we are used to. However, there is no requirement to use these specific methods, products and providers. Do not forgrt to visit also our "training" section. A lot of ressources, training course and examples are available to help you.

  • DNA microarrays image analysis
    In this section, you will find tutorials on the way we analyse our images after slide scanning. You will find also references to the software we use.

  • DNA microarrays normalization
    In this web site section you will find all the tools and tutorials we use for DNA microarrays results normalization.
    Direct links to local tools: Arrayplot | VARAN

  • Expression matrices pre-treatment
    Tutorials on this page will allow you to apply various treatment to your expression data before searching for differentially expressed genes or co-regulated genes.
    Links towards local mirrors: GEPAS

  • How to find differentially expressed genes?
    T utorial available in this section will show you how you can obtain using statiscal methods a list of significant genes from several replicate experiments.
  • Clustering
    T utorials from this section will help you classify genes in categories when your micraorray results are coming from different tyoe of experiements.

  • Data mining
    All the tools developped to help DNA microarrays results visualization and comparison are described here.
    Direct links: yMGV | yTAFNET | MiCoViTo

  • Data management
    Here is a global evaluation of different microarray databases to guide you in your choice, so that you ensure it matches your lab and your goals.

  • Excel for genomics
    Tutorial on how to use efficiently Excel with spreadsheet containing several thousand of lines.

The various steps of a DNA microarray experiment where bioinformatic is involved:

Data management Clustering.php Differential analysis Expression matrix pre-treatment Normalization Normalization Image analysis Data treatment Data mining Data mining Experimental steps DNA chip hybridization Experimental design



This page is also available in french | Last page update: 9/7/2011 - 11:28
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