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

2020 
MOTIVATION 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 compute platforms leading to slow runtimes. RESULTS 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, PacBio). RabbitQC achieves speedups between one and two orders-of-magnitude compared to other state-of-the-art tools. AVAILABILITY C ++ sources and binaries are available at https://github.com/ZekunYin/RabbitQC. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    5
    References
    1
    Citations
    NaN
    KQI
    []