Date of Award
5-8-2020
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Dr. Alexander Zelikovsky
Second Advisor
Sergey Knyazev
Abstract
For viral outbreaks like the recent COVID-19 outbreak, medical professionals in many areas require to know who infected whom, which variants are drug resistant and what therapy should be selected. To answer these questions, it is necessary to identify viral variants (haplotypes and SNP’s) in patients. A haplotype refers to a combination of alleles or a set of single nucleotide polymorphisms (SNPs) found on the same chromosome. This thesis describes the development and assessment of several pipelines and tools for viral NGS and read data analysis and the effect on the accuracy of the haplotype identification.
DOI
https://doi.org/10.57709/17513896
Recommended Citation
Kaidapuram, Sai Sudheep Reddy, "Data Preprocessing for Haplotype Calling from Viral NGS Data." Thesis, Georgia State University, 2020.
doi: https://doi.org/10.57709/17513896
File Upload Confirmation
1