BYU

Abstract by Emily Hoskins

Personal Infomation


Presenter's Name

Emily Hoskins

Co-Presenters

Spring Cullen

Degree Level

Undergraduate

Co-Authors

None

Abstract Infomation


Department

Computer Science

Faculty Advisor

Mark Clement

Title

Automated Parameter Selection for Whole Genome Comparison using de Bruijn Graphs

Abstract

Phylogenetics plays a significant role in our daily life. Beyond textbook graphs delineating the diversity of species, there are also vital applications for modern medicines and pharmaceutical testing. These phylogenetic relationships are constructed through a variety of methods, most of which ignore large portions of the genome. We propose a method, typically used in genome assembly, that will compare entire genomes using de Bruijn graphs. Resulting de Bruijn graphs are highly dependent on chosen parameters, which are often chosen arbitrarily by the user. We present research that focuses on an automated method for finding the optimal parameter selection.