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SS240 - Microarray Analysis with Open Source Tools

Description:

    This hands-on course will provide a big-picture overview of various steps involved in analyzing microarray data. We will start with an overview of microarray technology and differences between different types of arrays. Then we will use pre-compiled datasets and open-source, free software tools to illustrate the various steps in an analysis pipeline, importing the data, quality control, differential expression analysis and biological interpretation.

    Students interested in more detail (Bioconductor packages, ANOVA for multiple groups, class prediction) are invited to consider Advanced Microarray Analysis Using R/Bioconductor.

Objectives:

  • Basic review of microarray experiments
  • What is a microarray?
  • What are the differences among microarray platforms?
  • What are the challenges of microarray data?
  • Import of pre-processed microarray data
  • Expression data files
  • Experimental descriptor files
  • Annotation files
  • Traditional microarray analyses
  • Hierarchical clustering and principle components analysis for quality control
  • Differential expression analyses with t-tests
  • Biological interpretation
  • Functional analysis using DAVID/EASE
  • Network analysis using Cytoscape

Reasonable Accommodations/Interpreting Services

For deaf or hard-of-hearing individuals requiring interpreting services, please enter your request online in the Interpreting Services System at least five (5) days before the start of the class. If you have any questions regarding this service you may contact the ORS/DATS Interpreting Team at (301-4020-8180). Individuals who need other reasonable accommodations to participate in any of the CIT Training courses should let CIT Training know at least 5 days prior to the class.

Sections Available:

DateTimeLocationRegister for this Offering
Feb 20, 2013 Wednesday 9:00 am - 1:00 pmBuilding 12A - Room B51Register for Offering

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