Core programs
Currently Bioinformatics Institute offers two one year programs:
Bioinformatics for Biologists and
Algorithmic Bioinformatics. All programs are conducted in Russian.
Programs are open to undergraduate and master students as well as early stage researchers from Mathematics, Computer Science and Biology majors. There is
no tuition fees for full-time students and first year PhD candidates.
Besides intense curriculum, students participate in state-of-the-art research projects and internships in partner organisations solving real bioinformatics problems from day one. All of our students speak English and many of them are doing research work in international labs.
Research articles:
2018-20192019-20202020-2021Algorithmic Bioinformatics
This one year program is developed for senior students with CS/IT, Mathematics and other technical background that are interested in Bioinformatics. Classes take place on Saturdays and 1-2 evenings during the workweek.
The program is focused on advanced algorithms and data structures with application to large-scale data mining in molecular biology. During their studies students conduct 2-3 research projects under the supervision of specialists from partner laboratories and companies. Example topics are: de novo genome sequence assembly, computational mass-spectrometry, comparative genomics and many other.
Curriculum:
Fall
- Molecular Biology
- Statistics I
- Bioinformatics Algorithms
- Bioinformatics Methods
- Research project
Spring
- Molecular Evolution and Phylogeny
- Statistics II
- Bioinformatics Methods
- Next Generation Sequencing Data Analysis
- Bioinformatics (Journal Club)
- Machine learning
- Research project
Summer internship
Bioinformatics for Biologists
This one year program is developed for senior students from Biology majors that are interested in Bioinformatics. Classes take place on Saturdays and 1-2 evenings during the workweek.
The program is focused on intensive training in programming, statistics and its application in R as well as building up practical skills in various aspects of Bioinformatics. During their studies students conduct 2-3 research projects.
Fall
- Discrete Mathematics
- Programming in Python, part I
- Bioinformatics Methods
- Statistics and R
- Research project
Spring
- Molecular Evolution and Phylogeny
- Programming in Python, part II
- Bioinformatics Method
- R and introduction to Machine Learning
- Bioinformatics (Journal Club)
- Research project
Summer internship
More details in Russian