Grant: Canada Research Chairs
Université d'Ottawa
$50,000.00
Mathematical Genomics
FY 2023-24
Summary
Focusing on combinatorial algorithms, probability modeling and extensive collaborative analysis of flowering plant genomes, we propose to provide a comprehensive formal understanding of a wide range of phenomena connected to the evolution of chromosomes, specifically at the level of gene order. This development of a battery of formal combinatorial, mathematical and statistical tools will be thoroughly integrated with our work on the genomes of a large number of individual species. Our approaches should directly impact thinking within computational biology and should lead to useful ideas for biological research, as well as new discoveries about the genomes of many flowering plants.
Program
Canada Research Chairs
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2015-00257
Name nom
Sankoff, David
Department département
Head Office
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2015
Award amount
50000
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
Mathematical Genomics
Keyword
evolution
computational biology
flowering plants
gene ; order
chromosomal rearrangement
algorithms
Application summary
Focusing on combinatorial algorithms, probability modeling and extensive collaborative analysis of flowering plant genomes, we propose to provide a comprehensive formal understanding of a wide range of phenomena connected to the evolution of chromosomes, specifically at the level of gene order. This development of a battery of formal combinatorial, mathematical and statistical tools will be thoroughly integrated with our work on the genomes of a large number of individual species. Our approaches should directly impact thinking within computational biology and should lead to useful ideas for biological research, as well as new discoveries about the genomes of many flowering plants.
