Performance difference of graph-based and alignment-based hybrid error correction methods for error-prone long reads
Abstract
The error-prone third-generation sequencing (TGS) long reads can be corrected by the high-quality second-generation sequencing (SGS) short reads, which is referred to as hybrid error correction. We here investigate the influences of the principal algorithmic factors of two major types of hybrid error correction methods by mathematical modeling and analysis on both simulated and real data. Our study reveals the distribution of accuracy gain with...
Paper Details
Title
Performance difference of graph-based and alignment-based hybrid error correction methods for error-prone long reads
Published Date
Jan 17, 2020
Journal
Volume
21
Issue
1
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