Attraction of the leading scientists to Russian institutions of higher learning, research organizations of the governmental academies of sciences, and governmental research centers of the Russian Federation

Laboratory of Algorithmic Biology

About the laboratry

This laboratory was established as part of a scientific research project supported with a monetary grant awarded by the Government of the Russian Federation under a grant competition designed to provide governmental support to scientific research projects implemented under the supervision of the world's leading scientists at Russian institutions of higher learning, research institutions of the governmental academies of sciences and governmental research centers of the Russian Federation (Resolution of the RF Government No.220 of April 9, 2010).

The laboratory handles some of the most important algorithmic and computational tasks in genomics and proteomics that are at the forefront of bioinformatics and the subjects of some of the hottest scientific debates. We cooperate with the leading Russian and American experts specializing in bioinformatics.

Link to official website

Grant Agreement No.: 11.G34.31.0018

Host institution of higher learning:
St. Petersburg Academic University – the research and education center of the Russian Academy of Sciences specializing in nanotechnologies

Scientific research area:
Information technologies and computer systems

Project goal:
To solve the most important algorithmic and computational problems of contemporary medicine.

Key project objectives:
1. To develop a new approach to genome sequencing and assembly and to use it in personal genomics;
2. To develop a new approach to identifying and sequencing proteins/antibodies/antibiotics and to apply it in biotechnology.

Anticipated project outputs:
The project will help solve one of the most important problems in modern bioinformatics – to design a genome assembler that works better than the existing assembly algorithms. Such a genome assembler will help, in particular, to correctly assemble genomes of any size, including the genomes of cancer cells.

Leading scientist

vu mini 18 

Leading scientist's full name: Pevzner, Pavel Arkadyevich

Link to leading scientist's profile

Academic degrees:
Candidate of physical and mathematical sciences, PhD

Job titles:
Ronald R. Taylor professor of informatics
Professor at the Howard Hughes Medical Institute
Director of the post-diploma program of study in bioinformatics and systemic biology of the University of California San Diego
Director of the Center for Computational Mass Spectrometry of the US National Institute of Health

Field of scientific interests:
1. Computational biology
2. Biomedicine

Scientific recognition:
- Member of the Association of Computer Engineering
- Member of the International Society of Computational Biology
- Honorary academic degree from the Simon Fraser University (Canada)

 

Back to top