DNA Microarrays 2002

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  • Registration

Overview of the course program

  • Part I (laboratory work)
    • Introduction, robot printer show
    • Probe preparation and labelling, start of hybridization
    • End of hybridization, washes, scanning
  • Part II (bioinformatics work)
    • Introduction to bioinformatics for chips, target selection
      • Identification of interesting genes
      • Clone selection
      • Oligo selection
    • Image processing and quantification
      • Overlay of (two or more) fluorescence images
      • Construction and alignment of grid(s) to enclose the spots
      • Quantification of the individual spot intensities with background normalisation
    • Normalisation and filtering
    • Exploratory statistical analysis
      • Clustering analysis of data from several independent experiments
      • PCA (Principal Component Analysis)
      • Discriminant Analysis
    • Public Microarray data resources
      • Databases
      • Websites
      • Softwares (Stanford package, S+ or R+, Phylip, MS Excel)
    • Review on Softwares available for Microarrays