Baobab Group
Members
Doctorante
INRIA
Doctorant
UCBL
Doctorant
UCBL
Ingénieur de recherche
INRIA
Tel: 04 72 44 81 42
Maître de conférences
UCBL
Tel: 33 04 72 43 15 52
Maître de conférences
UCBL
Tel: 04 72 43 15 52
Professeur des universités
UCBL
Tel: 04 72 44 81 42
Technicienne
INRIA
Tel: 04 72 44 81 54
Directrice de recherche
INRIA
Tel: 33 04 72 44 82 38
Doctorante
UCBL
Baobab is a French research team of the Laboratoire de Biométrie et Biologie Évolutive, and at the same time represents the core of a European research team of Inria called Erable. Besides the members of Baobab, Erable has thus members in three institutions in Italy (Sapienza University of Rome, Luiss University, and University of Pisa) and two institutions in the Netherlands (CWI and Free University of Amsterdam).
Baobab has two main sets of research goals that currently cover four axes:
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Goals:
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The first is related to the original areas of expertise of the team, namely combinatorial and statistical modelling and algorithms, although more recently the team has also been joined by members that come from biology including experimental.
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The second set of goals concern its main Life Science interest which is to better understand interactions between living systems and their environment. This includes close and often persistent interactions between two living systems (symbiosis), interactions between living systems and viruses, and interactions between living systems and chemical compounds.
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Axes:
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(pan)genomics and transcriptomics in general,
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metabolism and (post)transcriptional regulation,
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(co)evolution
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health in general, of living systems and environmental.
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A longer objective of the team is to become able in some cases to suggest the means of controlling for or of re-establishing equilibrium in an interacting community by acting on its environment or on its players, how they play and who plays.
Two major steps are constantly involved in the research done by the team: a first one of modelling (i.e. translating) a Life Science problem into a mathematical one, and a second of algorithm analysis and design. The algorithms developed are then applied to the questions of interest in Life Science using data from the literature or from collaborators. More recently, thanks to the recruitment of young researchers (PhD students and postdocs) in biology, the team has become able to start doing experiments and producing data or validating some of the results obtained on its own.
From a methodological point of view, the main characteristic of the team is to consider that, once a model is selected, the algorithms to explore such model should, whenever possible, be exact in the answer provided as well as exhaustive when more than one exists for a more accurate interpretation of the results. More recently, the team has become interested in exploring the interface between exact algorithms on one hand, and probabilistic or statistical ones on the other such as used in machine learning approaches. More in particular, the team is interested in investigating an area of research called “interpretable machine learning” that has been developing more recently and its potential relations with exact, combinatorial approaches.
Besides being at the core of a European team, Baobab has a number of other collaborations at the international level.
Baobab is also strongly involved in teaching at the University of Lyon and Insa-Lyon, well as in other research institutions in Europe, directly or through the members of Erable that are not in France.
For more information, you may also visit the site of the Inria team Erable here: http://team.inria.fr/erable/en/.
Publications
Display of 1 to 30 publications on 296 in total
Computing Thermodynamically Consistent Elementary Flux Modes with Answer Set Programming
CMSB 2024 - 22nd International Conference Computational Methods in Systems Biology . LNCS-14971 : 80-88
Conference paper
see the publicationLogic programming-based Minimal Cut Sets reveal consortium-level therapeutic targets for chronic wound infections
npj Systems Biology and Applications . 10 ( 1 ) : 34
Journal article
see the publicationIdentification and quantification of transposable element transcripts using Long-Read RNA-seq in Drosophila germline tissues
Peer Community Journal . 4 ( e89 )
Journal article
see the publicationDe novo analysis of splicing from RNA-seq data: models, algorithms and applications
Minimal Cut Sets of a Consortium Model of P. aeruginosa and S. aureus Reveal New Cross-Feeding Interactions
Metabolic Pathway Analysis 2023 .
Conference paper
see the publicationA General Framework for Enumerating Equivalence Classes of Solutions
Algorithmica . 85 ( 10 ) : 3003-3023
Journal article
see the publicationCophylogeny Reconstruction Allowing for Multiple Associations Through Approximate Bayesian Computation
Systematic Biology . : syad058
Journal article
see the publicationHybrid modelling to Solve Optimal Concentrations of Metabolites and Enzymes in Constraint-based modelling
BIOSTEC 2023 .
Conference paper
see the publicationPolynomial Delay Algorithm for Minimal Chordal Completions
49th International Colloquium on Automata, Languages, and Programming (ICALP) .
Conference paper
see the publicationMutations in the non-coding RNU4ATAC gene affect the homeostasis and function of the Integrator complex
Nucleic Acids Research .
DOI: 10.1093/nar/gkac1182
Journal article
see the publicationGeometric programming to Solve Optimal Concentrations of Metabolites and Enzymes in Constraint-based modelling
International Conference on System Biology .
Conference paper
see the publicationSpecial Issue on “Frontiers in Connecting Steady-State and Dynamic Approaches for Modelling Cell Metabolic Behavior”
Processes . 10 ( 8 ) : 1612
DOI: 10.3390/pr10081612
Journal article
see the publicationHybrid metabolic modeling to identify new control strategies of living organisms
Hybrid models and methods in systems medicine .
Conference paper
see the publicationMod ́elisation m ́etabolique pour identifier de nouvelles strat ́egies de contrˆole des organismes vivants
Meetochondrie .
Conference paper
see the publicationBrumiR: A toolkit for de novo discovery of microRNAs from sRNA-seq data
GigaScience . 11
Journal article
see the publicationEfficiently sparse listing of classes of optimal cophylogeny reconciliations
Algorithms for Molecular Biology . 17 ( 1 ) : 1-16
Journal article
see the publicationTotoro: Identifying Active Reactions During the Transient State for Metabolic Perturbations
Frontiers in Genetics . 13 : 1-12
Journal article
see the publicationCALDERA: Finding all significant de Bruijn subgraphs for bacterial GWAS
Bioinformatics .
Journal article
see the publicationAnswer set programming to compute constraint elementary flux modes
Computational Methods in System Biology .
Conference paper
see the publicationAnswer set programming to compute constraint elementary flux modes.
Metabolic Pathway Analysis .
Conference paper
see the publicationFine-tuning mitochondrial activity in Yarrowia lipolytica for citrate overproduction
Scientific Reports . 11 ( 1 )
Journal article
see the publicationCombining Kinetic and Constraint-Based Modelling to Better Understand Metabolism Dynamics
Processes . 9 ( 10 ) : 1701
DOI: 10.3390/pr9101701
Journal article
see the publicationA General Framework for Enumerating Equivalence Classes of Solutions
ESA 2021 - 29th Annual European Symposium on Algorithms . : 1-14
Conference paper
see the publicationDichloroacetate and Pyruvate Metabolism: Pyruvate Dehydrogenase Kinases as Targets Worth Investigating for Effective Therapy of Toxoplasmosis
MSphere . 6 ( 1 )
Journal article
see the publicationA family of tree-based generators for bubbles in directed graphs
Journal of Graph Algorithms and Applications . 25 ( 1 ) : 549-562
DOI: 10.7155/jgaa.00572
Journal article
see the publicationA comprehensive evaluation of binning methods to recover human gut microbial species from a non-redundant reference gene catalog
NAR Genomics and Bioinformatics . 3 ( 1 )
Journal article
see the publicationMaking Sense of a Cophylogeny Output: Efficient Listing of Representative Reconciliations
WABI 2021 - 21st International Workshop on Algorithms in Bioinformatics . : 1-18
Conference paper
see the publicationAnswer Set Programming for Computing Constraints-Based Elementary Flux Modes: Application to Escherichia coli Core Metabolism
Processes . 8 ( 12 ) : 1649
DOI: 10.3390/pr8121649
Journal article
see the publicationCancer and Alzheimer’s disease: intracellular pH scales the metabolic disorders
Biogerontology . 21 ( 6 ) : 683-694
Journal article
see the publicationThermodynamic Approaches in Flux Analysis
Metabolic Flux Analysis in Eukaryotic Cells . : 359-367
Book chapter
see the publication