Grant: Canada Research Chairs
University of Victoria
$120,000.00
Biostatistics and Bioinformatics
FY 2019-20
Summary
Ongoing improvements in next-generation sequencing (NGS) technologies enable biological experiments to be conducted on much larger scales. This has created new opportunities in biological and medical research, while posing new challenges in analyzing these data. My proposed research is to develop methods and software in: (1) analysis of time-course multi-type NGS data, (2) biomarker discovery using multiple studies, and (3) design clinical trials with potential biomarkers. Tremendous volumes of genomics/epigenomics data in public resources are generated with substantial effort of the research community. My research allows the utilization of this information to support basic biological research and industrial drug development.
Program
Canada Research Chairs
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
1000231363-2016
Name nom
Zhang, Xuekui
Department département
Mathematics and Statistics department
Organization id
7
Institution établissement
University of Victoria
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2016
Award amount
120000
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
3000
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Statistics and probability
Research subject fr
Statistique et probabilité
Installment
NA
Partie
0
Nb partie
NA
Application title
Biostatistics and Bioinformatics
Keyword
NSERC
Application summary
Ongoing improvements in next-generation sequencing (NGS) technologies enable biological experiments to be conducted on much larger scales. This has created new opportunities in biological and medical research, while posing new challenges in analyzing these data. My proposed research is to develop methods and software in: (1) analysis of time-course multi-type NGS data, (2) biomarker discovery using multiple studies, and (3) design clinical trials with potential biomarkers. Tremendous volumes of genomics/epigenomics data in public resources are generated with substantial effort of the research community. My research allows the utilization of this information to support basic biological research and industrial drug development.