Students will be assessed for the course based on a mini-project summarised in a paper to be handed in at the end of semester. Students will identify individual project topics. Some examples (not intended to be at all limiting) include:

• development of gene expression analysis using course data sets or other data sets and the development of computational methods/implementaion using student developed software
• reviews of published research on expression analysis, including reviews and critiques of statistical and computational methods, and also re-analyses of published data and results
• studies exploring different methods of expression analysis using specific data sets;
• statistical methods development, including theoretical and computational aspects of statistical models for specific genomic applications;
• integration of analysis ideas and methods into new or ongoing lab projects in student research or other classes