Secretion systems
Visualization and statistical learning
Secretion systems are complexes of proteins enabling a number of essential functions for prokaryotic organisms (bacteria and archaea) such as acquiring nutrients or invading host cells. We are interested in developping statistical learning and visualization methods and software to better detect and explore the variability of secretion systems.
Exploring the variability of secretion systems
We have downloaded a large set of prokaryotic genomes and annotated them with the presence/absence of secretion systems. We are now interested in exploring this mass of data to better extract biological knowledge. Specifically, we are interested in:
- developping interactive visualization tools to explore the presence/absence of different secretion system types in sets of organisms.
- developping interactive visualization tools to exlore the genomic context of proteins involved in each secretion systems, on the line of the following plot:
- perform some unsurpervised learning on physico-chemical properties of proteins involved in secretion systems to better characterize the variability of proteins.