LC-MS mass spectrometry
Methods have been developed to significantly increase sensitivity and throughput of large-scale mass spectrometry MS-based proteomics experiments.
- LC-MS Signal processing for protein biomarker discovery, Li-Thiao-Té S., PhD thesis 2009, Abstract
- Alignment of LC-MS images, with applications to biomarker discovery and protein identification, Proteomics 2008, Vandenbogaert M., Li-Thiao-Té S.,
Kaltenbach H.M., Zhang R., Aittokallio T., Schwikowski B.
Regulatory network modeling
Bacillus Subtilis have to survive through changing environmental conditions BaSysBio
The development of several survival strategies, by using highly intertwined signaling and regulatory networks,
enabled them to adapt to diverse environmental conditions.
The study of this phenomenon uses both transciptomic temporal expression profiling under several nutritional conditions, and
partial prior biological knowledge of the network structure.
Understanging the complex mechanisms by which intertwined networks control gene expression remains a major question, and
in particular, module network identification helps to represent regulatory dependencies in expression profiles between genes.
Key-words: Regularory network, Bacillus subtilis, Intertwined networks, Module identification, Multi-scale network analysis, Changing environmental conditions, Nutrition shift-data time series analysis, experimental design