A genome-wide view of mutation rate co-variation using multivariate analyses
Abstract
While the abundance of available sequenced genomes has led to many studies of regional heterogeneity in mutation rates, the co-variation among rates of different mutation types remains largely unexplored, hindering a deeper understanding of mutagenesis and genome dynamics. Here, utilizing primate and rodent genomic alignments, we apply two multivariate analysis techniques (principal components and canonical correlations) to investigate the structure of rate co-variation for four mutation types and simultaneously explore the associations with multiple genomic features at different genomic scales and phylogenetic distances.
Type
Publication
Genome Biology
Authors
Francesca is a statistician developing methods for the analysis of large, high-dimensional and complex data, and applying such methods in contemporary “Omics” sciences and other scientific fields – including Meteorology and Economics.
Authors
Professor
Kateryna is interested in genomics, evolution, and human genetics.
Her lab studies mutations using both computational and experimental
approaches. Additional topics of interest include sex chromosome
evolution and genomics of childhood obesity.