BIN714 MICROARRAY DATA ANALYSIS AND INFORMATICS

Course Objectives

The main objective of this course is to introduce the participants to advanced bioinformatics, statistical methodologies and software tools for analyzing and managing various microarray data, such as transcriptomics, proteomics and genotyping. 

Course Content

Microarrays are now an established technology in molecular biology with increasing number of applications in genomics and proteomics research. The main objective of this course is to introduce the participants to advanced bioinformatics, statistical methodologies and software tools for analyzing managing various microarray data, such as transcriptomics, proteomics and genotyping. This course is aimed at advanced MS and PhD students and postdoctoral researchers who are applying or planning to apply microarray analysis and bioinformatics methods in their research. The course will be presented under three major topics. 1) Fundamentals of microarray technology 2) analytics of microarray process 3) microarray informatics while latest software packages is introduced within appropriate lectures.

Course Learning Outcomes

After sucessully completing the course :

Students will be able to define different microarray technologies and analysis methods.

Students will be able to state different application areas of microarray analysis.

Student will be able to recall and select appropiate tools for different applications areas of microarray technologies, and determine the correct parameters for the analysis.

Students will be able to interpret the results of microarray analysis.

Students will be able to prepare a report on a microarray dataset,  and its biological  interpretation on systems biology level.

Students are expected to be able to critique currents publications on microarray technologies and analysis.