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).


June 28, 2017

Eleonora De Lazzari* published her findings on scaling laws for gene families. A striking quantitative invariant in evolutionary genomics is the scaling with genome size of the number of proteins sharing a specific function. E.D.L. showed that such scaling laws exist systematically at the level of single evolutionary families. This provides a novel view of the links between evolutionary expansion of protein families and gene functions.This work was performed in collaboration with J Grilli (U. Chicago) and S Maslov (U. Illinois).

June 14, 2017

Angela Falciatore, head of the Diatom Genomics team, shared her thoughts for Beyond the Lab, the magazine of the Gordon and Betty Moore Foundation.

To the article

June 5, 2017

Elodie Laine and Alessandra Carbone organize the mini-symposium « Formal methods in the eyes of biological data » the 5th of June in Ronce-les-Bains. The symposium will highlight recent mathematical developments toward elucidating biological questions or modeling complex biological systems. It will illustrate the cross-talk between formal methods and biological data. The symposium is hosted by the SMAI congress ( and sponsored by the GDR BIM (

June 2, 2017

Plasmobase is a unique database designed for the comparative study of 11 Plasmodium genomes. Plasmobase proposes new domain architectures as well as new domain families that have never been reported before for these genomes. It allows for an easy comparison among architectures within Plasmodium species and with other species, described in UniProt. Joint work of J.Bernardes and A.Carbone.

To the article

June 2, 2017

BIS2Analyzer is a webserver providing the online analysis of coevolving amino-acid pairs in protein alignments, especially designed for vertebrate and viral protein families, which typically display a small number of highly similar sequences. (A.Carbone team) 

To the article

May 2-3, 2017

Angela Falciatore and Andrés Ritter organize the Algae workshop at 8th annual meeting EFOR network, May 2nd and 3rd 2017 Paris

April 20, 2017

Alessandra Carbone is interviewed by "Binaire - L'informatique: la science au coeur du numérique", the Le Monde Blog dedicated to the impact of computer science in our society (in collaboration with TheConversation). The interview was conducted by Serge Abiteboul and Claire Mathieu. 

To the Article

April 18, 2017

Marco Cosentino-Lagomarsino and Gilles Fischer collaborated with Gianni Liti’s team to generatate end-to-end genome assemblies for 12 yeast genomes based on long-read sequencing. These population-level high-quality genomes with comprehensive annotation enable the first explicit definition of chromosomal boundaries between core and subtelomeric regions as well as a precise quantification of their relative evolutionary rates of genome dynamics.

To the article

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


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