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 the University Pierre and Marie Curie (UPMC).

Upcoming Events

December 18-19, 2017

 Marco Cosentino Lagomarsino of the GenomicPhysics team organizes the conference Quantitative Methods in Gene Regulation IV ( here you may find the poster image).

News

February 16, 2017

World Community Grid (WCG - IBM) posts a news on our new article appeared in Proteins exploring a fundamental principle of protein sociability.This work used data obtained in the first phase of our project "Help Cure Muscular Dystrophy Project" with WCG. This work is part of the MAPPING project (Investissement d'Avenir en Bioinformatique).

To the Article in WCG
To the Article in Proteins

January 1, 2017

The Diatom Functional Genomics Team (Angela Falciatore and Antonio E. Fortunato) contributed to the manuscript “Evolutionary genomics of the cold-adapted diatom Fragilariopsis cylindrus”,  published on Nature in January 2017. This study, coordinated by Prof. Thomas Mock, University of East Anglia, Norwich, has revealed the existence of highly diverged alleles in the genome of this polar diatom species that may be involved in adaptation to environmental fluctuations in the Southern Ocean.

To the Article

October 31, 2016

A new publication of F. Devaux Team in NAR:
The discovery of novel specific ribosome-associated factors challenges the assumption that translation relies on standardized molecular machinery. In this work, we demonstrate that Tma108, an uncharacterized translation machinery-associated factor in yeast, is a specific nascent-chain associated factor selectively recruited during the translation of less than 200 mRNAs encoding proteins with ATP or Zinc binding domains. Tma108 is a unique example of a nascent chain-associated factor with high selectivity and its study illustrates the existence of other specific translation-associated factors besides RNA binding proteins.

To the article

September 15, 2016

The LCQB laboratory is in the CNRS Journal for his project MetaSUB Paris.

To the Article (Journal du CNRS)
To the Article (CNRSNews) 

August 19, 2016

World Community Grid (WCG - IBM) posts a news on our new article appeared in Proteins exploring data obtained in WCG during the "Help Cure Muscular Dystrophy Project". This work is part of the MAPPING project (Investissement d'Avenir en Bioinformatique).

To the Article

July 20, 2016

Reviens Avec Tes Prélèvements et analyse les Big Data avec nous

MetaSUB Paris : Cartographier la Diversité Microbienne du Métro Parisien. An article by Marie Pinhas (UPMC) in french to explain the involvement of the lab in the MetaSUB project. 

July 11-16, 2016

Martin Weigt co-organizes the conference "Statistical physics methods in biology and computer science", a satellite of StatPhys2016, Ecole Normale Superieure, Paris, July 11-16, 2016. It will cover recent progress on the use of methods from statistical mechanics of disordered systems for high dimensional problems related to biology and computer science. Organizers: Simona Cocco, Florent Krzakala, Remi Monasson, Guilhem Semerjian, Martin Weigt, Lenka Zdeborova. 

July 8, 2016

We published a new generation domain annotation approach, demonstrating that "multi-source" domain modelling is more appropriate than "mono-source" domain modelling for capturing remote homology. We re-annotate the Plasmodium falciparum genome.

To the Software

July 5, 2016

F. Devaux's team published one of the first ChIP-seq-based description of the transcriptional regulatory networks in the pathogenic yeast Candida glabrata. This work, which was performed in collaboration with J-M. Camadro and G. Lelandais from the Jacques Monod Institute and with the NGS platform directed by S. Le Crom, is the first publication from a larger ANR project aiming at a comprehensive description of stress response regulatory networks in this emerging human pathogen.

June 27-July 1, 2016

Alessandra Carbone organises with Ion Petre (Turku Centre for Computer Science) the special session "Computation in biological systems" at the international conference "Computability in Europe 2016", Université Paris 7, June 27th 2016 - July 1st 2016

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