Cedric Gondro

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