Today, bioinformatics plays an essential role in the treatment of "omics" data, where it aims to define a conceptual framework built around mathematics and computing. By modelling and analysing complex biological systems it allows them finally to be understood. In addition, the growing use of high throughput approaches in medical applications involves frequent recourse to statistical and computing approaches to help design new tools with diagnostic and/or therapeutic aims. Bioinformatics at EDyP is interdisciplinary, and has the following objectives:


To implement interdisciplinary (in silico biology) and collaborative research in line with the projects carried out at EDyP. This results in the deployment or development of novel methods (algorithms and statistics) to treat data from complex samples analysed by mass spectrometry. Our research is applied to themes such as the study of subcellular proteome dynamics, quantitative proteomics, or areas of clinical interest such as the search for biomarkers.


To contribute to scientific animation and training in bioinformatics. Nationally, we are involved in the "bioinformatics and proteomics" theme (short, themed scientific meetings; working groups on standards; national collaborative server, ProteHome). Regionally, we are associated with the Pôle Rhône-Alpin de BioInformatique (PRABI). And locally, through a CEA-INRIA-UJF Grenoble partnership, we participate in continued professional development in bioinformatics.


Keywords
Methods and techniques used: descriptive statistics, classification and learning methods, bioanalysis, databases, algorithmics, programming.


Applications
Computational proteomics, proteogenomics, biological networks, etc.