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Mathematical and Computational Evolution…

Mathematical and Computational Evolutionary Biology 2018

IBC is co-organising the 2018 edition of Mathematical and Computational Evolutionary Biology 2018, which will take place in St Martin de Londres from June 25-29th, 2018. This year focus is "Methods for Evolutionary Genomics". For more informaiton ab...

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10th Statistical Methods for Post Genomi…

10th Statistical Methods for Post Genomic Data (SMPGD) in Montpellier

Statistical Methods for Post Genomic Data (SMPGD) has taken place at Université de Montpellier on 11-12 January 2018 and was co-organised by members of IBC and supported by the IBC. Web:

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Workshop "Structural and Functional…

Workshop "Structural and Functional Annotation of Tandem Repeat Regions in Proteomes"

COST Action NGP-net international workshop "Structural and Functional Annotation of Tandem Repeat Regions in Proteomes" is taken place at the campus of CNRS on 19-21 February 2018 and is  co-organised by members of IBC and supported by the IBC. ...

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The Computational Biology Institute (IBC) aims at the development of innovative methods and software to analyze, integrate and contextualize large-scale biological data in the fields of health, agronomy and environment.  Scalable computational solutions able to handle this ever-increasing volume of data constitute the present and future bottleneck that may limit their economic impact. Several branches of research will thus be combined: algorithmics (combinatorial, numerical, highly parallel, stochastic), modeling (discrete, qualitative, quantitative, probabilistic), and data management and information retrieval (integration, workflows, cloud). Concepts and tools will be validated using key applications in fundamental biology (transcriptomics, structure and function of proteins, development and morphogenesis), health (pathogens, cancer, stem cells), agronomy (plant genomics, tropical agriculture), and environment (population dynamic, biodiversity).The project is divided into five complementary work-packages that include the main aspects of processing biological data on a large scale:

IBC is a multidisciplinary project center supported for five years (2012-2017) by the French "Investissements d'Avenir" Call and its trustees. IBC currently involves 65 permanent researchers with broad multidisciplinary spectrum, based in one company and fourteen laboratories of  Montpellier. IBC should become a privileged meeting place for computational biology and bioinformatics researchers, not only bringing together those involved with the original project, but also a large community of academic and industry researchers on regional, national and international levels. IBC activity will invite world-class researchers to collaborate with, organize scientific events, train young researchers, and promote results and exchange information with industrial partners.

Next seminar

Plenary sessions
Damien Eveillard - Computational Biology group - Lab. Sciences du Numériques Nantes, Université de Nantes  25th May 2018 at 2pm - IBC Bât 5 room 2.022 Abstract: Recent progresses in metagenomics have promoted a change of paradigm to investigate microbial ecosystems. These ecosystems are today analyzed by emphasizing either their gene content or «  who is there and who is not » from a taxonomical viewpoint. However, understanding the interactions between microbial communities and their environment well enough to be able to predict diversity on the basis of physicochemical parameters is a fundamental pursuit of microbial ecology that still eludes us. Such a task must be achieved by dedicated computational approaches or modelings, as inspired from Systems Biology.  Nevertheless, direct application of standard cellular systems biology approaches is a complicated task, because (i) communities are complex, (ii) most are described qualitatively, and (iii) quantitative understanding of the way communities interacts with their surroundings remains incomplete.
Within this seminar, we will illustrate how systems biology approaches must be adapted to overcome these points in different manners. First, we will present a network analysis that focus on the global ocean. Here we use environmental and metagenomic data gathered during the Tara Oceans expedition to improve understanding of a biological process such as the carbon export.
Second, we will describe how to integrate heterogeneous omics knowledge. Such an integration will emphasize putative functional units at the community level. Finally, we will illustrate a quantitative modeling from this network. A constraint based modeling will be used to predict microbial community structure and its behaviors based on genome-scale knowledge.

Label Ivestissement d'AvenirIBC is a project "Investissements d'Avenir" managed by University of Montpellier

Recent publications

AgroPortal: A vocabulary and ontology repository...

Clement Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzale Yeumo, Vincent Emonet,...


Mathematical and Computational Evolution…

MCEB 2017 - Mathematical and Computational Evolutionary Biology
12-16 June 2017 - IGESA, Porqueroles, South of France.

Official webpage:

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