Author

Marcus Nguyen

Publication Date

2017

Document Type

Dissertation/Thesis

First Advisor

Yin, Yanbin

Degree Name

M.S. (Master of Science)

Department

Department of Computer Science

LCSH

Bioinformatics||Computer science

Abstract

Horizontal gene transfer (HGT) is a growing area of research in bioinformatics. It has been studied heavily in bacteria due to the abundance of genome data available as well as its various links to pathogenicity and antimicrobial resistance. With the growing number of fungi being sequenced, fungal research in HGT has also began to grow. It has also been linked to pathogenicity as well. Many tools exists to predict HGT candidates; many of these are targeted for bacteria. Due to the growing research in fungi, tools that have been tested on fungi are in high demand. Having precomputed, public results for these algorithms can save both time and money in the long run; as such, building a database is of great use to many. Additionally, the creation of a large dataset can be a very useful tool to take a look at HGT from a macro perspective in fungi.

Comments

Advisors: Yanbin Yin.||Committee members: Wesley Swingley; Jie Zhou.||Includes illustrations.||Includes bibliographical references.

Extent

75 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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