RabbitQC: high-speed scalable quality control for sequencing data.

Yin, Zekun; Zhang, Hao; Liu, Meiyang; Zhang, Wen; Song, Honglei; Lan, Haidong; Wei, Yanjie; Niu, Beifang et al. · Bioinformatics · 2021

basic_science · Level V

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Abstract

Modern sequencing technologies continue to revolutionize many areas of biology and medicine. Since the generated datasets are error-prone, downstream applications usually require quality control methods to pre-process FASTQ files. However, existing tools for this task are currently not able to fully exploit the capabilities of computing platforms leading to slow runtimes. We present RabbitQC, an extremely fast integrated quality control tool for FASTQ files, which can take full advantage of modern hardware. It includes a variety of operations and supports different sequencing technologies (Illumina, Oxford Nanopore and PacBio). RabbitQC achieves speedups between one and two orders-of-magnitude compared to other state-of-the-art tools. C++ sources and binaries are available at https://github.com/ZekunYin/RabbitQC. Supplementary data are available at Bioinformatics online.

Medical subject headings