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P10: Determining Error Biases in Second-Generation DNA Sequencing Data
Author: Neza Vodopivec , Advisor: Aleksey Zimin (IPST)
Problem Statement Presentation
Project Proposal
Abstract
I will study base substitution error biases in Illunima data. I will compute how often each of the twelve substitution errors occur and determine which type of error is most dominant for bases with a given quality score. I will also examine how the frequency of substitution errors changes over intervals of the genome as a function of their GC content. I will then determine the most common types of substitutions that occur for each GC content.
MidYear Progress Report and
Presentation
Final Presentation ,
Final Report
