Aims and Objectives

This tutorial is intended to introduce basic principles and commonly used tools for the analysis of omics data (princioally proteomics and transcriptomics). For example:

The tutorial is centred around using proteomic and transcriptomic case studies, taken from the scientific literature. Data are provided for each case study and a synopsis or link to the associated paper.

Overview and getting started



  • Read through the case studies, and select one for analysis
  • Follow the guide on using analyzing gene-expression datasets within GEO here
  • Functional analysis of gene or protein sets

    Creative Commons Licence
    This work is licensed under a Creative Commons Attribution 4.0 International License.

    This resource was developed with financial support to Professor Rob Ewing from The University Center for Innovation in Teaching and Education (UCITE), Case Western Reserve University, Cleveland, Ohio