Grant: Canada Research Chairs
Université de Sherbrooke
$100,000.00
Biological and Computational Complexity
FY 2023-24
Summary
The CRC in Biological and Computational Complexity 2020-2025 aims to develop methods to identify functional regions in genomes and to discover the evolutionary relationships between functional regions at multiple embedded levels. The specific objectives are: 1) to develop models of multiple RNA families for fast identification of RNA genes, 2) to infer evolutionary relationships between coding genes at transcripts level, 3) to correct gene trees using gene neighborhood information. The results will contribute to crucial challenges of modern computational genomics, namely to scale up genome annotation to the rapid advances of genome sequencing, and to provide integrative methods for more insightful reconstructions of the evolution of genome components.
Program
Canada Research Chairs
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2020-00011
Name nom
Ouangraoua, Aida
Department département
Computer Science - Université de Sherbrooke
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Biological and Computational Complexity
Keyword
Computational biology
Comparative genomics
Data mining
Algorithms
RNA gene finding
Gene homology
Phylogeny
reconstruction
Application summary
The CRC in Biological and Computational Complexity 2020-2025 aims to develop methods to identify functional regions in genomes and to discover the evolutionary relationships between functional regions at multiple embedded levels. The specific objectives are: 1) to develop models of multiple RNA families for fast identification of RNA genes, 2) to infer evolutionary relationships between coding genes at transcripts level, 3) to correct gene trees using gene neighborhood information. The results will contribute to crucial challenges of modern computational genomics, namely to scale up genome annotation to the rapid advances of genome sequencing, and to provide integrative methods for more insightful reconstructions of the evolution of genome components.
