Exploring the Consistency of the Quality Scores with Machine Learning for Next-Generation Sequencing Experiments.
Journal:
BioMed research international
Published Date:
Feb 25, 2020
Abstract
BACKGROUND: Next-generation sequencing enables massively parallel processing, allowing lower cost than the other sequencing technologies. In the subsequent analysis with the NGS data, one of the major concerns is the reliability of variant calls. Although researchers can utilize raw quality scores of variant calling, they are forced to start the further analysis without any preevaluation of the quality scores.