Genetics and Genomics Commons^™

A Comparative Study Of K-Spectrum-Based Error Correction Methods For Next-Generation Sequencing Data Analysis, Isaac Akogwu, Nan Wang, Chaoyang Zhang, Ping Gong

Faculty Publications

Background: Innumerable opportunities for new genomic research have been stimulated by advancement in high-throughput next-generation sequencing (NGS). However, the pitfall of NGS data abundance is the complication of distinction between true biological variants and sequence error alterations during downstream analysis. Many error correction methods have been developed to correct erroneous NGS reads before further analysis, but independent evaluation of the impact of such dataset features as read length, genome size, and coverage depth on their performance is lacking. This comparative study aims to investigate the strength and weakness as well as limitations of some newest k-spectrum-based methods and …