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3rd Course on Introduction to Microarray Gene Expression Analysis

Course Poster
The CNIO Bioinformatics Unit, in collaboration with the Genomics Unit,  is organising a Third Course on Introduction to Microarray Gene Expression Analysis, to be held on Tuesday, May 25th 2010.

This introductory course on microarray analysis is targeted to people without previous knowledge on this field. We will cover the basic steps that should be followed to obtain a list of differentially expressed genes, starting from raw expression data. The theoretical part of the course will be comprehensive and the similarities and differences between one- and two-color arrays will be discussed. For the practical part, an already published public dataset of Agilent two-color arrays will be used for all subsequent hands-on work.  Students will get familiar with raw data format, background subtraction and normalization procedures that are needed before any differential expression analysis.
Some notions on experimental design and statistical tests will be given, and attendees will learn the value of biological replicates and the importance of multiple testing corrections.
Finally, we will present some useful tools to visualize the results and review the clustering methods, making emphasis on the interpretation of the results.

The course is limited to 15 persons. Please contact us (This email address is being protected from spambots. You need JavaScript enabled to view it. ) in advance if you wish to attend the course.


  • Gonzalo Gómez and Daniel Rico, Bioinformatics Unit (CNIO)
  • Orlando Domínguez, Genomics Unit (CNIO)

Course Agenda

  • 09:00 Microarray platforms and procedures at CNIO Genomics Unit 
  • 10:00 Raw data, microarray DBs and background correction (Theory: Raw Data, Background)
  • 11:15 Coffee Break
  • 11:45 Normalization and preprocessing (Theory) (Training: Slides, .xls file)
  • 13:00 Lunch 
  • 14:30 Differential expression analysis (Theory) (Training: Slides, .xls file)
  • 16:00 Coffee Break 
  • 16:15 Visualization and Clustering (Theory) (Training, .gct file)
  • 17:00 Finish

Course Raw Data Files

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