Semester
Spring
Date of Graduation
2022
Document Type
Thesis
Degree Type
MS
College
Eberly College of Arts and Sciences
Department
Mathematics
Committee Chair
Adam Halasz
Committee Member
Harvey Diamond
Committee Member
Adrian Tudorascu
Abstract
Next Generation Sequencing (NGS) refers to all sequencing methods post Sanger Sequencing. Sequencing By Synthesis is the most well-known method, however it’s inaccessible price is difficult for some. Thus, a different method also exists, re-sequencing– which relies on a reference genome to check the validity of each base call. The standard for determining the validity of a base call is a one parameter quality score. But, previously a two-parameter Bayesian method was successfully used for re-sequencing the viral genome. However, a quality parameter was previously not used in the construction of the cumulative density function for the likelihood. This paper explores the implications of adding a third parameter to the previously successful method. It was found that there is no statistical significance between the two and three parameter methods. Furthermore, it takes significantly longer to process the three-parameter method. Hence, it is recommended to proceed with future utilization of this re-sequencing technique with the two-parameter method
Recommended Citation
Fleischer, Sarah, "Extension of a Bayesian Method for Viral Genome Re-Sequencing to Multi-Dimensional Parameters" (2022). Graduate Theses, Dissertations, and Problem Reports. 11314.
https://researchrepository.wvu.edu/etd/11314