IMPORTANT! Please notice that due to the current COVID-19 situation, the school will be organized in the online format.
Modern experimental techniques in life sciences produce large, constantly accumulating amounts of biological data. The data analysis requires deep knowledge of basic computer science and task-specific algorithms, yielding a high demand for professionals in computational biology. School’s participants will receive interdisciplinary knowledge that is invaluable for the biomedical data analysis.
Modern biology is a data-rich science. To deal with the flood of data in biology and medicine, and to derive new knowledge from these data, scientific laboratories, clinics, and industry need qualified specialists in computational biology.
Due to the revolution in high-throughput technologies bioinformatics became Big Data Science of Genomics. Therefore, the opening of the Laboratory of Bioinformatics at the Faculty of Computer Science is a necessary and timely event. Big Data of molecular biology already utilyze general algorithms and methods of Data science, among which the machine-learning methods demonstrate a good performance.
In this light, machine learning application to bioinformatics is an extremely topical area.
- Applied Bioinformatics
- Bioinformatics of DNA, RNA and Proteins
- Elementary Genomics
- Modern Methods of Data Analysis
- Molecular Biology
Consistently ranked as one of Russia’s top universities, HSE University is a leader in Russian education and one of the preeminent universities in eastern Europe and Eurasia. Having rapidly grown into a well-renowned research university over two decades, HSE University sets itself apart with its international presence and cooperation.
In March 2014 HSE University together with Yandex, a major Russian IT company, opened its new Faculty of Computer Science. The Faculty aims at preparing highly qualified data scientists, software engineers, and computer science researchers for leading Russian and international IT companies and academic institutions. Its academic interest also includes ML application to bioinformatics. The Bioinformatics expertise at the Faculty is supported by Bioinformatics Lab and Master’s Programme 'Data Analysis in Biology and Medicine'.