Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise
Searched keyword : Scientific computing
Related people (22)
I joined the C3BI Hub in 2016 after a curriculum widely dedicated to Bioinformatics studies, and more precisely to Phylogeny and Evolution, topics of my PhD thesis. At Institut Pasteur, I am involved in projects dealing with sequences homology : alignments, hmm profiles, making homologous family databases, kmers signatures. I am also a developer (Python / C++) with a solid interest in optimization as well as in developing usable tools for final user such as automated pipeline for metagenomics sequence analysis. I’m currently embedded in Marc Eloit’s team (80% of my work time). My main task in this team is to develop strategies to identify, in their metagenomics samples, new pathogens, or new combination pathogen / symptoms. The rest of my time, I manage small projects and participate to the Hub life. I am currently experimenting with functional programming (for now, using Python) and its applicability to bioinformatics issues.
AlgorithmicsScientific computingSofware development and engineeringParallel computingGraph theory and analysis
- DNMT and RNMT in Leishmania(Gerald SPAETH - Molecular Parasitology and Signaling) - In Progress
- Targetting the function of a hypothetical protein(Dariusz CZERNECKI - Structural Dynamics of Macromolecules) - Pending
- Defective interfering viral genomes of shrimps' viruses(Anastassia KOMAROVA - Viral Genomics and Vaccination) - Awaiting Publication
Developing and evaluating bioinformatic tools for: – next generation sequencing data – genome analysis & comparison Specialties:Genome & Transcriptome Bioinformatics
Data managementData VisualizationGenomicsNon coding RNASequence analysisTranscriptomicsGenome analysisBiostatisticsProgram developmentScientific computingData and text miningBiosensors and biomarkersEpidemiology and public health
- Identification of non-coding RNAs under the control of the PerR regulators(Nadia BENAROUDJ - Biology of Spirochetes) - In Progress
- Tissue-resident stromal cell heterogeneity(Lucie PEDUTO - Stroma, Inflammation and Tissue Repair) - In Progress
- Role of small non coding RNAs in the adaptive response to oxidative stress in pathogenic Leptospira(NADIA BENAROUDJ - Biology of Spirochetes) - In Progress
One of my projects consists in developing GRAVITY, a java tool based on Cytoscape to integrate genetic variants within protein-protein interaction networks to allow the visual and statistical interpretation of next-generation sequencing data, ultimately helping geneticists and clinicians to identify causal variants and better diagnose their patients. I’m also involved in several other projects in the lab, taking part in the design of pipelines for the processing and the analysis of genomics data, including SNP arrays, whole-exome and whole-genome sequencing data. This means being confronted to the big data problematic, the unit having to manage hundreds of terabytes of genomics data. Finally, I am now analysing these data in order to identify possible causes for autism, to help clinicians with their diagnosis but also to better understand the biological mechanisms at play in this complex disease. This is done through the project aiming at understanding the genetic architecture of autism in the Faroe Islands, and also with the newly starting IMI2 European project AIMS2-Trials.
AlgorithmicsData managementData VisualizationGenomicsMachine learningProteomicsGenome analysisBiostatisticsProgram developmentScientific computingApplication of mathematics in sciencesExploratory data analysisSofware development and engineeringData and text miningGenetics
I joined the Bioinformatics and Biostatistics Hub at Institut Pasteur in 2016 where I am currently developing pipelines related to NGS for the Biomics Pôle. I have an interdisciplinary research experience: after a PhD in Astronomy (gravitational wave data analysis), I joined several research institute to work in the fields of plant modelling (INRIA, Montpellier, 2008-2011), System Biology — in particular logical modelling (EMBL-EBI Cambridge, U.K., 2011-2015), and drug discovery (Sanger Institute, Cambridge, U.K.), 2015). On a daily basis, I use data analysis and machine learning techniques within high-quality software to tackle scientific problems.
AlgorithmicsData managementData VisualizationGenome assemblyGenomicsMachine learningModelingScientific computingDatabases and ontologiesSofware development and engineeringData and text miningIllumina HiSeqGraph theory and analysisIllumina MiSeq
I have a joint MSc degree in Mathematical Modelling from three European universities: University of L’Aquila (Italy), University of Nice-Sophia Antipolis (France) and Autonomous University of Barcelona (Spain). I also hold a PhD degree in Applied Mathematics and Scientific Computing from University of Bordeaux, France. I have done my PhD and one year of post-doc at INRIA Bordeaux Sud-Ouest, and partially at IHU-Liryc. During this time I studied how electrical signals propagate through the cardiac tissue under certain diseased conditions. My model of interest was the bidomain model, which is a system of partial differential equations that takes into account physiological properties of the cardiac cells and the spatial organization of the cardiac tissue. I worked on the mathematical multiscale analysis and numerical simulations of the problem to understand how structural changes of the tissue affect the propagation of the signal on the heart level. I collaborated with biologists and engineers of the IHU-Liryc to apply my model on a rat heart using high-resolution MRI data. For this I also worked on image analysis and image processing. I’ve joined the Institute Pasteur in February 2018 as a member of the HUB in Bioinformatics and Biostatistics. Currently I am working on stochastic mathematical modeling and inference for systems biology, gene expression, RNA transcription, etc.
ModelingScientific computingApplication of mathematics in sciencesGraphics and Image Processing
BacteriaFungiInsect or arthropodEscherichia coliSaccharomyces cerevisiaeFly
Data managementSequence analysisStructural bioinformaticsDatabaseProgram developmentScientific computingLIMS
- Common and phylogenetically widespread coding for peptides by bacterial small RNAs – Follow up of a project regarding its journal review(Benno SCHWIKOWSKI - Systems Biology) - Closed
- A novel MacSyFinder module for detection of bacterial capsule systems on the future Galaxy platform.(Eduardo ROCHA - Microbial Evolutionary Genomics) - Closed
- Development of a web application and new functionalities for the maintenance and curation of iPPI-DB(Olivier SPERANDIO - Center for Innovation and Technological Research) - Closed
AlgorithmicsProgram developmentScientific computingSofware development and engineering
- Assessing the integrations of viral sequences into the genomes of Aedes albopictus and Aedes aegypti(Vincent HOUÉ - Arboviruses and Insect Vectors) - Pending
- Implémentation d’un algorithme rapide de génotypage cgMLST(Valérie BOUCHEZ - Molecular Prevention and Therapy of Human Diseases) - In Progress
- characterization of RNA virus populations from untargeted NGS in natural infections samples(Etienne SIMON-LORIERE - Evolutionary Genomics of RNA viruses) - Closed
After a PhD in informatics on graph analysis (metabolic networks and sRNA-mRNA interaction graphs) at the LaBRI (Université de Bordeaux), I joined the DSIMB team (INTS) for a post-doc on structural modeling. Then, I performed a second post-doc at Metagenopolis – INRA Jouy-en-Josas, where I was initiated to the analysis of metagenomic data. I was recruited at the HUB in 2015, and since I pursue the development of methods dedicated to the treatment of metagenomic data by combining either the treatment of sequencing data, the statistics, the protein structural modeling and the graph analysis.
AlgorithmicsClusteringGenome assemblyGenomicsMetabolomicsModelingNon coding RNASequence analysisStructural bioinformaticsTargeted metagenomicsDatabaseGenome analysisBiostatisticsProgram developmentScientific computingDatabases and ontologiesExploratory data analysisData and text miningIllumina HiSeqComparative metagenomicsRead mappingIllumina MiSeqSequence homology analysisGene predictionMultidimensional data analysisSequencingShotgun metagenomics
- Regulation of nasopharyngeal microbiome in normal healthy individuals(James DI SANTO - Innate Immunity) - Pending
- Changes in cellular pathways during SARS-CoV-2 infection upon drug treatment(Bjoern MEYER - Viral Populations and Pathogenesis) - Pending
- Identification, structural and functional analyses of peptides from SARS-Cov2 binding with high affinity to MHC-E and impact on NK cell responses in SARS-Cov2 infection(Huot NICOLAS - HIV, Inflammation and Persistence) - Pending
Bernd Jagla received his PhD in bioinformatics (department of Biology, Chemistry, and Parmacy) from the Free University in Berlin, Germany in 1999. Before joining the Institut Pasteur, he worked for almost ten years in New York City, including as an associate research scientist in the Joint Centers for System Biology (Columbia University) and at the Columbia University Screening Center led by Dr J.E. Rothman. He joined the Institut Pasteur in 2009 to take charge of the bioinformatic needs at the Transcriptome et Epigenome platform, focusing on Next Generation Sequencing. As of 2016 he is member of the C3BI – HUB Team detached to the Human immunology center (CIH) and provides support for cytometry, next generation sequencing, and microarray data analysis. His areas of interest include the quality assurance and data analysis and visualization at the facility. He also has strong expertise in developing algorithms for function prediction from sequence data, image analysis, analysis of mass spectrometry data, workflow management systems. While at Pasteur he developed: KNIME extensions for Next Generation Sequencing (Link) Post Alignment Visualization and Characterization of High-Throughput Sequencing Experiments (Link) Post Alignment statistics of Illumina reads (Link)
AlgorithmicsChIP-seqData managementData VisualizationImage analysisMachine learningSequence analysisDatabaseGenome analysisBiostatisticsProgram developmentScientific computingData and text miningIllumina HiSeqGraphics and Image ProcessingIllumina MiSeqHigh Throughput ScreeningFlow cytometry/cell sortingPac Bio
Data managementMachine learningStatistical inferenceScientific computingExploratory data analysisSofware development and engineeringParallel computingNeuroimaging and computational neuroscienceGrid and cloud computing
Rachel Legendre is a bioinformatics engineer. She completed her master degree in apprenticeship for two years at INRA in Jouy-en-Josas in the Genetic Animal department. She was involved in a project aiming at the detection and the expression analysis of micro-RNA involved in an equine disease. In 2012, she joined the Genomic, Structure and Translation Team at Paris-Sud (Paris XI) university. She worked principally on Ribosome Profiling data analysis, a new technique that allows to identify the position of the ribosome on the mRNA at the nucleotide level. Since november 2015, she worked at Institut Pasteur. During 4 years, she was detached to the Biomics Platform, where she was in charge of the bioinformatics analyses for transcriptomics and epigenomics projects. She was also involved in Long Reads (PacBio and Nanopore) developments with other bioinformaticians of Biomics. Since november 2019, she has joined the Hub of Bioinformatics and Biostatistics, et more precisely the Genome Organization Regulation and Expression group.
AlgorithmicsChIP-seqEpigenomicsNon coding RNATranscriptomicsGenome analysisProgram developmentScientific computingSofware development and engineeringIllumina HiSeqRead mappingSequencingWorkflow and pipeline developmentChromatin accessibility assaysPac BioRibosome profiling
BacteriaFungiParasiteHumanInsect or arthropodOther animal
- basic alignment/visualisation pipeline(Pablo NAVARRO - Epigenetics of Stem Cells) - In Progress
- The master regulator of virulence gene expression in Group B Streptococcus(Arnaud FIRON - Biology of Gram-Positive Pathogens) - Pending
- Transcriptional analysis of injured skeletal muscle(Eleonora ROSSI - Stroma, Inflammation and Tissue Repair) - Closed
After a Master degree in bioinformatics and biostatistics, I did a PhD in computer science / bioinformatics at University Paris-Sud (now in University Paris-Saclay), where I worked on integration and analysis of comparative genomics data. After a postdoc in Lausanne, Switzerland where I worked on small-RNA sequencing data, I joined GenoSplice where I was responsible for the development of bioinformatics projects related to next generation sequencing. I joined Institut Pasteur in Nov. 2015, to work in the Evolutionary Bioinformatics Unit and participate in the development of new tools and algorithms that are able to tackle efficiently the ever increasing amount of sequencing data.
AlgorithmicsData managementPhylogeneticsSequence analysisDatabaseGenome analysisProgram developmentScientific computingDatabases and ontologiesSequencingWorkflow and pipeline development
After a PhD in bioinformatics at Inria/IRISA, Université de Rennes 1, Rennes (France), under the supervision of Dominique Lavenier and Pierre Peterlongo, I did a postdoc in bioinformatics at Laboratory of Ecology and Evolution of Plankton in Stazione Zoologica Anton Dohrn of Naples, Italy. Both my thesis and my postdoc were about the Tara Oceans projet and the development of new software to analyze huge quantities of raw reads coming from metagenomics sample. I am currently occupying a research engineer position at the Hub as leader of ALPS group and focus on several different computing problems including metagenomics, protein assembly and several short term developments.
AlgorithmicsData managementProteomicsDatabaseProgram developmentScientific computingSofware development and engineeringComparative metagenomics
- Analysis of neuronal population dynamics in rodents during virtual navigation(Christoph SCHMIDT-HIEBER - Neural circuits for spatial navigation and memory) - Pending
- Recombination among enteroviruses(Maël BESSAUD - Biology of Enteric Viruses) - Pending
- Identification of new or unexpected pathogens, including viruses, bacteria, fungi and parasites associated with acute or progressive diseases(Marc ELOIT - Biology of Infection) - In Progress
After a PhD in biochemistry of the rapeseed proteins, during which I developed my first automated scripts for handling data processing and analysis, I join Danone research facility center for developing multivariate models for the prediction of milk protein composition using infrared spectrometry.
As I was already developing my own informatics tools, I decided to join the course of informatic for biology of the Institut Pasteur in 2007. At the end of the course I was recruited by the Institute and integrate the unit of “génétique des interactions macromoléculaires” of Alain Jacquier. Within this group, I learn to handle sequencing data and I developed processing and analysis tools using python and R. I also create a genome browser and database system for storing, retrieving and visualizing microarray data. After 8 years within the Alain Jacquier’s lab, I join the Hub of bioinformatics and biostatistics as co-head of the team.
ClusteringData managementSequence analysisTranscriptomicsWeb developmentDatabaseGenome analysisProgram developmentScientific computingExploratory data analysisData and text miningIllumina HiSeqRead mappingLIMSIllumina MiSeqHigh Throughput ScreeningMultidimensional data analysisWorkflow and pipeline developmentRibosome profilingMotifs and patterns detection
- SHERLOCK4HAT - WP1.1(Brice ROTUREAU - Group: Trypanosome transmission) - In Progress
- Remettre les servers Genolist comme LegioList, TuberclListe, Colibri etc en service(Carmen BUCHRIESER - Biology Of Intracellular Bacteria) - Closed
- Identification of eukaryotic 5'UTRs(Arnaud ECHARD - Membrane Traffic and Cell Division) - Closed
After a Master degree in Genome Analysis and Molecular Modeling at Denis Diderot University, I did a PhD in NMR / bioinformatics at Denis Diderot University, where I worked on the development and use of a software named DaDiModO which uses SAXS data and RDC/NMR data to calculate models of structural proteins. After a postdoc aiming to adapt ARIA software to allow execution on computing grid in the Structural Bioinformatic Team at Institut Pasteur in collaboration with IBCP, I joined CIB/DSI Team where I was responsible for the development of bioinformatics projects and the deployment, maintenance and evolution of the Pasteur Galaxy server. I joined the Hub/C3BI team in 2017 as research engineer where I’m involved in several projects such as structural bioinformatics, softwares and web development. I am also in charge of the maintenance of the Galaxy Pasteur instance.
Data managementGalaxyStructural bioinformaticsWeb developmentDatabaseProgram developmentScientific computingDatabases and ontologiesWorkflow and pipeline developmentGrid and cloud computing
- Development of a secure API for ARIAweb(Benjamin BARDIAUX - Structural Bioinformatics) - Pending
- Development of a web server to calculate functional binding sites using Deep Learning(Olivier SPERANDIO - Structural Bioinformatics) - Pending
- A pipeline to detect correlated evolution on phylogenetic trees(Eduardo ROCHA - Microbial Evolutionary Genomics) - In Progress
Professional Experience Today - Institut Pasteur,Paris - HUB Team 2017 - Bioinformatician 2001 - 2017 - Institut Pasteur,Paris; CIB/DSI - Engineer 1997 - 2000 Thesis: NMR and molecular modelisation, CEA, Saclay,
Data managementSequence analysisTranscriptomicsGenome analysisProgram developmentScientific computing
FungiCandida albicansCryptococcus gattiiCryptococcus neoformans
- Characterization of Salmonella mutants(FRANCOISE NOREL - Biochemistry of Macromolecular Interactions) - In Progress
- Etude des TSS alternatif chez Cryptococcus(Guilhem JANBON - RNA Biology of Fungal Pathogens) - In Progress
- maintenance du site de la Collection des cyanobactéries(Bénédicte BENEDIC - Collection of Cyanobacteria) - Closed
Activities Contact for any subject related to IFB. Help scientists to develop new tools (architecture, design, implementation). animate the Python Working Group at pasteur . O|B|F (http://www.open-bio.org/) member. Skills Strong programming experience in Python. Software architecture and design. NoSQL DataBase (MongoDB, CouchDB) XML/YAML continuous integration (github/travis-CI/readthedocs, gitlab/gitlab-CI) containers (Docker, Singularity) linux (Gentoo, Xubuntu) IFB developer Main projects on the campus Mobyle http://Mobyle.pasteur.fr Mobyle: a new full web bioinformatics framework IntegronFinder (ongoing project) MacsyFinder (ongoing project) githubaccess to my projects on github Teaching Unix (Unix-I , Unix-II) Python . Education 2002 Phd in Molecular and cellular biology. “Rôle de deux protéines QN1 et PATF impliquées dans l’arrêt de prolifération des cellules de la neurorétine aviaire au cours du developpement”. 2001 “Informatique En Biologie” course (Pasteur)
Data managementDatabaseProgram developmentScientific computingDatabases and ontologies
Thomas is a biostatistician who holds an engineering degree in Agronomy (Agrocampus Ouest, Rennes, France). He also holds a Ph.D. in biostatistics from Université Pierre et Marie Curie for his work on the spread of nosocomial pathogens on contact networks. During his Ph.D at INSERM, he investigated how high-resolution dynamical contact data could support infection-tracing conducted using more traditional approaches in healthcare settings, e.g. routine swabbing and genetic characterization of strains detected in patients or healthcare workers. He developed a new statistical framework to test the correlation between dynamic close-proximity interaction networks and biological carriage data. While at INSERM, he also developed the R0 package for R that aimed at implementing several computation methods used in estimating reproduction parameters for emerging transmissible diseases. After working as a statistical modeller for a private company in the pharmaceutical industry, he joined the Hub in 2016 as a statistician and is now involved in the projects of the Malaria: parasites and hosts unit headed by Ivo Mueller.
ModelingBiostatisticsScientific computingApplication of mathematics in sciencesClinical researchEpidemiology and public health
- Mosquito vector competence for Zika virus(Anna-Bella FAILLOUX - Arboviruses and Insect Vectors) - Pending
- Tests serologics anti-CNF1(Daniel GUERIN - Bacterial Toxins) - In Progress
- Impact des contraintes biomécanistiques sur la dynamique des macro-ouverture induits par l'EDIN de Staphylococcus aureus.(Camille MOREL - Bacterial Toxins) - In Progress
Dr. Natalia Pietrosemoli is an Engineer with a M. Sc. in Modeling and Simulation of Complex Realities from the International Center for Theoretical Physics, ICTP and the International School of Advanced Studies, SISSA (Triest, Italy). During her M. Sc. internships she mostly worked in modeling, optimization, combinatorics and information theory applied to medical imaging. In 2012 she got a Ph. D in Computational Biology from the School of Bioengineering of Rice University (Houston, TX, US), where she specialized in computational structural biology and functional genomics. Her doctoral thesis “Protein functional features extracted with from primary sequences : a focus on disordered regions”, contributed to a better understanding of the functional and evolutionary role of intrinsic disorder in protein plasticity, complexity and adaptation to stress conditions. As part of her Ph. D., Natalia was a visiting scholar in two labs in Madrid: the Structural Computational Biology Group at the Spanish National Cancer Research Centre (CNIO), where she mainly worked in sequence analysis and the functional-structural relationships of proteins, and the Computational Systems Biology Group at the Spanish National Centre for Biotechnology (CNB-CSIC ), where she studied the functional implications of intrinsically disordered proteins at the genomic level for several organisms, collaborating with different experimental and theoretical groups. In 2013, she joined the Swiss Institute of Bioinformatics as a postdoctoral fellow in the Bioinformactics Core Facility. Her main project consisted in the molecular classification of a rare type of lymphoma, which involved the integration of transcriptomic, clinical and mutational data for the identification of molecular markers for classification, diagnosis and prognosis. This work was performed in collaboration with the Pathology Institute at the University Hospital of Lausanne (CHUV). In November of 2015 Natalia joined the Hub Team @ Pasteur C3BI as a Senior Bioinformatician. Natalia is especially interested in the integrative analysis of different omics data, both at large-scale and for small datasets, and loves collaborating in interdisciplinary environments and having feedback from her fellow experimental colleagues. Currently, she’s coordinating several projects performing functional and pathway analysis at the genomic level. By grouping genes, proteins and other biological molecules into the pathways they are involved in, the complexity of the analyses is significantly reduced, while the explanatory power increases with respect to having a list of differentially expressed genes or proteins.
AlgorithmicsData managementGenomicsImage analysisMachine learningModelingProteomicsSequence analysisStructural bioinformaticsTranscriptomicsDatabaseGenome analysisBiostatisticsScientific computingDatabases and ontologiesApplication of mathematics in sciencesData and text miningGeneticsGraphics and Image ProcessingBiosensors and biomarkersClinical researchCell biology and developmental biologyInteractomicsBioimage analysis
- Global BioID-based SARS-CoV-2 proteins proximal interactome unveils novel ties between viral polypeptides and host factors involved in multiple COVID19-associated mechanisms(Yves JACOB - Molecular Genetics of RNA Viruses) - In Progress
- Mitochondrial polarization identifies functionally mature human NK cells(Laura SURACE - Innate Immunity) - Awaiting Publication
- Proteomic analysis of the intracellular compartments containing Brucella abortus(Javier PIZARRO-CERDA - Yersinia) - In Progress
In 2012 I completed my master degree at the MicroScope Platform located at Genoscope (the French National Sequencing Center). I was involved in a project aiming at the management of evolution projects which rely on the Next Generation Sequencing (NGS) technologies to try to decipher the dynamics of genomic changes as well as the molecular bases and the mechanisms underlying adaptative evolution of micro-organisms (Remigi et al. 2014). Since November 2014, I joined the Bioinformatics and Biostatistics HUB at Institut Pasteur. I participated to the creation and updates of the C3BI website. I joined the WINTER group where I’m in charge of web and interface development projects. I have completed an UX-Design training to add extra value to my front-end development skills. I design and develop bioinformatics tools and interfaces that are users oriented.
Data VisualizationWeb developmentDatabaseGenome analysisScientific computingDatabases and ontologiesSofware development and engineeringWorkflow and pipeline development
- BIGSdb-Pasteur web pages and design renewal(Federica PALMA - Biological Resource Center of Institut Pasteur (CRBIP)) - In Progress
- Page web modélisation covid-19 pasteur(Simon CAUCHEMEZ - Mathematical Modelling Of Infectious Diseases) - In Progress
- French GWAS Covid webpage(Hugues ASCHARD - Statistical Genetics) - In Progress
Hugo Varet is a biostatistician engineer from the Ensai (Ecole Nationale de la Statistique et de l’Analyse de l’Information) and has been recruited in 2013 by the Transcriptome & Epigenome Platform of the Biomics Pole. Late 2014 he obtained a permanent position at the Bioinformatics & Biostatistics Hub and has been detached to the platform to continue the statistical analyses of RNA-Seq data and develop R pipelines and Shiny applications that help in this task. One of them is named SARTools and is available on GitHub: https://github.com/PF2-pasteur-fr/SARTools. In December 2019 he left the Biomics Platform and joined the Bioinformatics & Biostatistics Hub as a core-member.
MetabolomicsModelingSequence analysisStatistical inferenceTranscriptomicsBiostatisticsScientific computingApplication of mathematics in sciencesExploratory data analysisHigh Throughput ScreeningClinical research
- Characterization of a broad spectrum chemical inhibitor targeting the endocytic pathway to prevent bacterial intoxications.(Eléa PAILLARES - Bacterial Toxins) - In Progress
- Transcriptional analysis of injured skeletal muscle(Eleonora ROSSI - Stroma, Inflammation and Tissue Repair) - Closed
- Correlative analysis between lipid droplets number and volume in hepatocytes infected by hepatitis C virus variants(Emeline SIMON - Molecular Genetics of RNA Viruses) - Closed
A computer scientist by training, I am applying this knowledge to solve biological problems and am particularly interested in modelling of biological systems, knowledge inference, ontologies and data visualisation.
AlgorithmicsData VisualizationMetabolomicsModelingPathway AnalysisPhylogeneticsSystems BiologyTool DevelopmentDatabaseProgram developmentScientific computingDatabases and ontologiesApplication of mathematics in sciencesSofware development and engineeringData and text miningEvolutionData integrationGraph theory and analysisWorkflow and pipeline developmentDiscrete and numerical optimization
VirusHuman Immunodeficiency virus (HIV)
- Modeling mitochondrial metabolism dormant Cryptococcus neoformans(Benjamin HOMMEL - Molecular Mycology) - Closed
- Measles virus protein C interplay with cellular apoptotic pathways; applications for cancer treatment(Alice MEIGNIÉ - Viral Genomics and Vaccination) - Closed
- Diffusion des mutations de résistance du VIH : modèles et méthodes d’estimation(Olivier GASCUEL - Evolutionary Bioinformatics) - In Progress
Related project (1)
MacSyFinder is a framework to model and detect macromolecular systems in genomes using decision rules (gene content and architecture) and similarity searches (protein profiles). It was initially devel