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Read quality assessment software tools | High-throughput sequencing data analysis

Next-generation sequencing (NGS) technologies have been widely used in life sciences. However, several kinds of sequencing artifacts, including low-quality reads and contaminating reads, were found to be quite common in raw sequencing data, which compromise downstream analysis. Therefore, quality control (QC) is essential for raw NGS data.

Source text:
(Zhou et al., 2013) QC-Chain: fast and holistic quality control method for next-generation sequencing data. PLoS One.

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