Computational methods for (metag)enomics
Team research involves the development and application of theoretical models and methods, data analysis and computer simulation techniques in the study of biological systems. In these disciplines, computational challenges are arising following the exponential growth of sequences and databases, and the discovery of complex biomolecular interactions.
Today the limited computer power available together with the sequential nature of the algorithms is the main obstacles for advancing research in computational biology. To achieve more effectiveness in statistical genetics and genomics from new computer technologies it is of paramount importance to better parallelise the codes. This can only be achieved by bringing together computing experts and biostatisticians.
Members
Project Leader
Pr. Alessandra Carbone Computational and Quantitative Biology, Sorbonne Université
Scientific Coordinators
- Pr. Martin Weigt, LQCB, SU
