Computational Biology
VIMIA076 | Computer Engineering BSc | Credit: 4
Objectives, learning outcomes and obtained knowledge
The first part of this course covers a variety of items raised by the contemporary biology and medicine. Topics in first 3 weeks will include: genetic and epigenetic code, organisation of the genome, hierarchic and non-hierarchic regulation of the life at cell, organ, organism and population level, genomics, proteomics, metabolomics, evolution, genealogy, omics databases, principles of systems biology, high-throughput molecular technologies and gene diagnostics. The next four weeks connect these basic aspects with quantitative, personalized and predictive approach of cancer, cardiovascular (e.g. hypertension and myocardial infarct), neurodegenerative (e.g. Alzheimer and multiple sclerosis) and metabolic diseases (e.g. diabetes and obesity), arthritis, asthma, AIDS, flu epidemics as well as vaccination, drug development and gene therapy. A separate chapter will cover the principles of stem (embryonic, tissue and induced pluripotent-) cell research.
Lecturers
Péter Antal
associate professor
Course coordinator

Bence Bruncsics
research assistant

Péter Sárközy
lecturer
Synopsis
Part 1. Highlights in experimental biology and medicine – András Falus