Using Statistics to Shed Light on the Dynamics of the Human Genome: A Review
Abstract
In this article we review a number of recent studies in which information derived from genomic alignments and data concerning composition, location and biochemical features of the nuclear DNA are used to investigate salient properties and determinants of change (mutations) in the human genome. The studies under review, all conducted by an interdisciplinary group of investigators at The Pennsylvania State University, required the use of a range of statistical techniques—from regression, to multivariate analysis, to the modeling of latent structures.
Type
Publication
Advances in Complex Data Modeling and Computational Methods in Statistics
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.