Nadia El-Mabrouk
- Professeure titulaire
-
Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle
André-Aisenstadt office 3163
Courriels
mabrouk@iro.umontreal.ca (Travail)
Télécopieur : 514 343-5834
Web : ResearchGate
Web : Site web de l’unité de recherche
Web : Blogue
Web : Autre site web
Affiliations
- Membre – CRM — Centre de recherches mathématiques
- Membre – Centre Robert-Cedergren de l’Université de Montréal
Education Programs
- Fundamental and Applied Sciences Information and Communication Technologies
- Fundamental and Applied Sciences Information and Communication Technologies
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences Health Sciences Life Sciences
- Fundamental and Applied Sciences Health Sciences Life Sciences
- Fundamental and Applied Sciences Information and Communication Technologies
- Life Sciences Fundamental and Applied Sciences Health Sciences
Courses
- BIN6000 Algorithmes en bio-informatique génomique
- IFT3295 Bio-informatique
- IFT4055 Projet informatique honor
- IFT6291 Bio-informatique génomique
Areas of Expertise
- Algorithmics
- Evolution (Biology)
- Gene family
- Bioinformatics
- Comparative genomics
- Combinatorial optimization
- Genomic rearrangements
Despite the remarkable unity of the basic components of the living world (DNA, RNA, the genetic code), we are probably still not aware of the diversity of genome structures nor of the diversity of means genomes use to evolve. In addition to local mutations affecting genome sequences, various global mutations also affect their overall gene order and content: rearrangements, horizontal gene transfer, hybridization, losses, duplications ranging from single genes to the whole genome.
By comparing complete or partial genomes it is possible to infer evolutionary scenarios for gene families, gene clusters or entire genomes, and to predict ancestral characteristics. This has important consequences, not only for documenting the evolutionary history of life on earth, but also for answering many fundamental biological questions regarding gene function, adaptation processes and variations on the genetic and physiological specificities of species. Each problem, each type of mutation (or set of mutations), has its own model and gives rise to specific algorithmic, combinatorial, statistical and mathematical developments. Our research projects are related to these computational biology aspects of comparative genomics.Student supervision Expand all Collapse all
Cycle : Master's
Grade : M. Sc.
Cycle : Doctoral
Grade : Ph. D.
Cycle : Doctoral
Grade : Ph. D.
Research projects Expand all Collapse all
Algorithmic approaches for phylogenomics Projet de recherche au Canada / 2024 - 2031
Centre de recherches mathématiques (CRM) Projet de recherche au Canada / 2022 - 2029
An algorithmic framework for gene family evolution Projet de recherche au Canada / 2018 - 2025
CENTRE DE RECHERCHES MATHEMATIQUES (CRM) Projet de recherche au Canada / 2015 - 2023
Prédiction automatique de modifications du code génétique et de l’ARN messager Projet de recherche au Canada / 2017 - 2021
EVOLUTION OF GENOME ORGANIZATION Projet de recherche au Canada / 2013 - 2019
EVOLUTION DES GENES D'ARN DE TRANSFERT A L'ECHELLE GENOMIQUE Projet de recherche au Canada / 2013 - 2017
CENTRE DE RECHERCHES MATHEMATIQUES (CRM) Projet de recherche au Canada / 2008 - 2016
ALGORITHMS FOR THE INFERENCE OF GENE FAMILY EVOLUTION Projet de recherche au Canada / 2008 - 2012
Additional Information
- 22-11-2017 Texte d'opinion signé par Nadia El-Mabrouk au sujet de la neutralité religieuse
- 18-01-2018 Texte d'opinion de Nadia El-Mabrouk sur l'éducation à la sexualité
- 06-02-2018 Au Québec, l’attentat contre la mosquée a laissé des traces. Nadia El-Mabrouk
- 03-12-2018 Nadia El-Mabrouk reçoit le prix Condorcet-Dessaulles
- Briser les stéréotypes à l'égard des mathématiques et de l'informatique
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