Cedric Gondro
Research
My research activities/interests can be grouped into three broad themes:
- Evolutionary Computation and Artificial Life for optimization of biological problems
- Computational methods and statistical analysis of high-throughput genomic data
- Evolution, diversity and population genetics
My main research interests are in the development of computational methods for optimization of biological problems; statistical and functional analysis methods for high throughput genomic data (microarrays, SNPs, sequence); estimation of population genetics parameters using genome-wide data; and simulation of biological systems. I am currently involved in a wide range of projects. These include:
- Estimation of recombination rates and functional mapping of hot/coldspots in sheep
- Use of functional knowledge in genomic selection
- Functional integration of GWAS and gene expression data
- Cross-platform comparison and integration of microarrays
- Epistasis modelling using evolutionary computation
- Development of methods to estimate breed composition using SNP data
- Identification of signatures of selection in Hanwoo, Angus and Brahman cattle
- Identification of biomarkers for residual feed intake
- Quality control and development of a pipeline for SNP chip data
- Development of a pipeline for analysis of microarray data
- Estimation of variability and heritability in gene expression
- Statistical and functional analysis for various global profiling projects using microarrays and RNAseq
Related Work
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CANR honors 2022 cohort of Global Scholars in Education
Published on April 6, 2022
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CANR honors 2022 cohort of Global Scholars in Research
Published on April 6, 2022
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CANR announces 2021 Cohort of Global Scholars
Published on February 18, 2021