Day 1: Introduction to omics technologies

Author

Wen Zhong

Published

October 23, 2025

Learning objectives

The field of omic data analysis has been rapidly evolving during the last few decades. Moreover, the importance of bioinformatics in biomedical research has steadily continued to increase, becoming almost a required skill for any researcher in the field. Throughout this module, the students will:

  • Know the landscape of omic technologies
  • Learn which omics may be more suitable for a given research question.
  • Learn how to analyze several types of omics.

Lectures

[9:00-9:50] Lecture 1: Course introduction and omics landscape

Speaker: Wen Zhong

Course introduction and a brief overview of the evolution of omics technologies, including sequencing, mass spectrometry, and antibody-based techniques.

[10:00-10:50] Lecture 2: Cutting-edge technologies in the Swedish molecular diagnostics landscape

Speaker: Colum Walsh

The facilities and technologies available to researchers in Sweden, including genomics, proteomics, metabolomics, bioimaging, and bioinformatics

[10:50-11:00] Break

[11:00-11:30] Lecture 3: Sequencing technologies

Speaker: Jyotirmoy Das

Modern high-throughput sequencing techniques, with applications to DNA, RNA and epigenetic sequencing.

[11:30-12:00] Lecture 4: Proteome and metabolome technologies

Speaker: Wen Zhong

Different technolgies that can be used to generate proteomics and metabolomics data, including mass spectrometry, antibody-based (e.g., Olink) and aptamer-based (e.g. SOMAScan).

Workshops

[13:00-16:00] Omics data, visualization, processing

Instructor: Jyotirmoy Das

Introduction of omics data and essential steps of processing, analysis, and visualization (epigenetics and proteomics datasets).