Computational methods for systems biology

frontier laboratories

HEAD of the PROJECT

AIM OF THE PROJECT
Developing a collection of open, efficient and streamlined computational methods and software tools to facilitate cutting edge biological discoveries, with a focus on immunology, gene expression data and graph algorithms

KEY RESULTS

  • A framework for network-based methods of biological data interpretation for different network structures and data types
  • Web-services for working with public experimental transcriptomic data, integrating computational methods developed in the laboratory.
  • Algorithms and software tools for combinatorial optimization and sampling, with a focus on graphs.

PROJECT TEAM

  • Alexey Sergushichev
    PhD in Engineering

    Head of the Project

  • Nikita Alexeev
    PhD in Physics and Mathematics

  • Konstantin Zaytsev
    3rd year PhD student

  • Alexandr Loboda
    4th year PhD student

  • Vladimir Sukhov
    4th year PhD student

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