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.