Honors College Theses

Publication Date

4-11-2023

Major

Biology (B.A.)

Release Option

Archived

Faculty Mentor

Aaron Schrey

Abstract

Advancement of next-generation sequencing technologies introduces a vast amount of data which has become a challenge for researchers to organize and sequence data sets. BWA (Burrows-Wheeler Aligner) is one of the widely used software for aligning and mapping sequencing data against a reference genome. In my thesis, I present a comprehensive guide for analyzing genome sequences using BWA. I discuss the various steps involved in the process, including gathering the data, preparing the reference genome, aligning the sequences, and processing the data to visualize the results.

Thesis Summary

I present a comprehensive guide for analyzing genome sequences using BWA.

Copyright

This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.

Download

Share

COinS