A comparative evaluation of hybrid error correction methods for error-prone long reads
Abstract
Third-generation sequencing technologies have advanced the progress of the biological research by generating reads that are substantially longer than second-generation sequencing technologies. However, their notorious high error rate impedes straightforward data analysis and limits their application. A handful of error correction methods for these error-prone long reads have been developed to date. The output data quality is very important for...
Paper Details
Title
A comparative evaluation of hybrid error correction methods for error-prone long reads
Published Date
Feb 4, 2019
Journal
Volume
20
Issue
1
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