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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
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© Research

About

     Classification is a key concept in biology, in that it encompasses the important notions of systematics, taxonomy and homology. Systematic studies aim to better understand the evolutionary history of life and lead to essential knowledge to establish accurate taxonomy (species description, naming, and relatedness).

     The main goal of our group is to address issues that are associated to biological classifications by inferring and analyzing phylogenetic trees that represent the evolutionary history of genes or species (e.g. Guglielmini et al. 2019). Moreover, our group also provides expertise and analyses on related fields: sequence homology detection and orthology assessment, bacterial genotyping for epidemiological surveillance, de novo and ab initio genome assembling for phylogenomics studies, reference database creation (e.g. RVDB-prot; Bigot et al. 2020) and bioinformatics tool implementation (e.g. JolyTree; Criscuolo 2019, 2020) for dealing with large-scale sequence datasets.

     For more details (information, datasets, programs, tools), see our alternative webpage: giphy.pasteur.fr

     Have also a look at our FAQ

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