Integrative Bioinformatics and Systems Biology

This course teaches data-specific computational analyses and integrative analysis approaches that combine knowledge from different OMICs-based datasets, covering both theoretical and practical aspects.

Course abbreviation: INT-BIO

Instructor: Dr. Mohamed Hamed

Head of the Integrative OMICs Analysis Group in Rostock University Medical Center, Rostock University, Germany

Workload: 12 lectures, 3 hours each. Total workload: 42 hours: 36 hours of lectures and tutorials and 6 hours of self studies.

Entrance requirements: Basic knowledge of biology and computer science.

Used media: PowerPoint presentation

Objectives

• Perform data-specific computational analyses
• Apply integrative analysis approaches using multiple OMICs datasets
• Identify biomarkers for early diagnosis and prognosis of complex diseases
• Develop treatment-related insights using integrative bioinformatics

Competences to be Developed

• R scripting language and Bioconductor packages
• Data-specific computational analysis and pipelines
• Developing and applying integrative bioinformatics methods
• Basics of machine learning methods for integrating heterogeneous omics data
• Research project development, result interpretation, manuscript writing, and scientific discussion

Assessment

• Finalize a research project applying learned methods
• Compile project outcomes into a high-quality research article ready for peer-review submission
• Present and scientifically review all projects in the last lecture