The Laboratory of Computational and Quantitative Biology (LCQB), headed by A. Carbone, is an interdisciplinary laboratory working at the interface between biology and quantitative sciences. It is built to promote a balanced interaction of theoretical and experimental approaches in biology and to foster the definition of new experimental questions, data analysis and modeling of biological phenomena. Our projects address questions on biological structures and processes through the gathering of experimental measures, the in silico generation of new biological data that remain inaccessible to experiments today (modeling of biological systems), the development of statistical methods for data analysis, and the conception of original algorithms aimed to predictions. The lab is supported by the CNRS and Sorbonne Université.

News

June 10, 2016

World Community Grid posts a news on Joint Evolutionary Trees 2 (JET2), a new large-scale method to predict protein-protein interfaces based on sequence and structure information.

To the Article and Software.

May 9, 2016

A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized. Champeimont R, Laine E, Hu S-W, Penin F, Carbone A. Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins. Scientific Reports.

May 2, 2016

The team of Diatom Functional Genomics just published a paper describing how marine diatoms efficiently attune acclimation responses in highly variable ocean environments. L.Taddei*, G.R. Stella*, A. Rogato, B. Bailleul, A.E. Fortunato, R. Annunziata, R. Sanges, M. Thaler, B. Lepetit, J. Lavaud, M. Jaubert, G. Finazzi, J.P. Bouly, A. Falciatore. Multi-signal control of expression of the LHCX protein family in marine diatom Phaeodactylum tricornutum.  Journal Experimental Botany, in press.

*co-first-authors

April 17-23, 2016

Martin Weigt organizes the workshop "Coevolution in proteins and RNA, theory and experiments" in Cargèse, Corsica

April 13, 2016

We achieved the complete reconstruction of genome history in a model yeast genus, providing a granular view of genome evolution linking gene content, chromosome rearrangements and protein divergence into a single evolutionary framework.

N Vakirlis, Sarilar V, G Drillon, A Fleiss, N Agier, J-P Meyniel, L Blanpain, A Carbone, H Devillers, K Dubois, A Gillet-Markowska, S Graziani, Nguyen H-V, M Poirel, C Reisser, J Schott, J Schacherer, I Lafontaine, B Llorente, C Neuvéglise and Fischer G. Reconstruction of ancestral chromosome architecture and gene repertoire reveals principles of genome evolution in a model yeast genus. Genome Research (2016).

March 1, 2016

A.E. Fortunato, M. Jaubert, J.P. Bouly, M. Thaler and A. Falciatore from the Diatom Functional Genomics team in collaboration with J.S. Bernardes (Statistical Genomics and Biological Physics), A. Carbone (Analytical Genomics) and other international collaborators published on The Plant Cell the paperDiatom Phytochromes Reveal the Existence of Far-Red-Light-Based Sensing in the Ocean.”  Full text paper.

Plant Cell Editor’s comment on this work.

January 1, 2016

E.Laine and A.Carbone just published a new large-scale method to predict protein-protein interfaces based on sequence and structure information - Joint Evolutionary Trees 2 (JET2). It is the first time that a method highlights, with such a precision, information on distinguished binding sites, possibly overlapping each other.

To the Article and Software.

December 21, 2015

Interview of the German National Radio to A.Carbone, where she gives some highlights on protein-protein interactions.
 

December 7-8, 2015

Marco Cosentino Lagomarsino co-organizes the 3rd edition of Quantitative Methods in Gene Regulation,
Corpus Christi College, Cambridge, UK. 

November 5-6, 2015

The 5th Cross Disciplinary Genomics meeting "Genomics of Microbial Communities" will be held at UPMC.
There is no participation fee but registration is required.

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