Hands-On Microarray Methylation Data Analysis in Partek Genomic Suite

About this Class

The class will start with an overview of Partek Genomics Suite with Pathway and followed with the hands-on training on Illumina 450K Methylation array data. The workflow can also be used on HumanMethylation27 (27K) and Human MethylationEPIC (850K) BeadChips. Students will learn how to perform QA/QC, detect differential methylation, find genes overlapping CpG loci and biological interpretation as well as other basic analysis in Partek Genomics Suite with Pathway. For example: import data from Illumina methylation array in .idat files; methylation array-specific normalization; perform QA/AC; detection of differentially methylated CpG loci; creating list of loci of interest; identifying methylation signatures; find overlapping genes; biological interpretation; visualization (PCA; Dot plot; Hierarchical clustering; Pathway). Benefits: Acquire working knowledge of tools available to NIH researchers for Microarray Methylation data analysis.