Mapping next generation sequence data with BWA (Burrows-Wheel Aligner) on Galaxy software

Name

Rabeh Z. Omar, Georgia Southern UniversityFollow

Publication Date

4-11-2023

Major

Biology (B.A.)

Document Type and Release Option

Thesis (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.

Recommended Citation

Omar, Rabeh Z., "Mapping next generation sequence data with BWA (Burrows-Wheel Aligner) on Galaxy software" (2023). Honors College Theses. 846.
https://digitalcommons.georgiasouthern.edu/honors-theses/846