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