Partek Genomics Suite: Hands-On Microarray Methylation Data Analysis

  • Registration Closed
  • May 16, 2018
  • 01:30 PM to 04:30 PM
  • NIH Library Training Room

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data.

The NIH Library provides access to many analysis tools and databases on the bioinformatics workstations. Reservations are required to use the workstations.

Session Description

Abstract: The class will start with an overview of Partek Genomics Suite with Pathway, followed by hands on training on Illumina 450K Methylation array data. The workflow can also be used on HumanMethylation27 (27K) and HumanMethylationEPIC (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.

-  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.

Who should attend: NIH staff interested in learning Microarray data analysis.

Time Required: 3 hours

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