Summary ChronQC is a quality control (QC) tracking system for clinical implementation of next-generation sequencing (NGS). ChronQC generates time series plots for various QC metrics to allow comparison of current runs to historical runs. ChronQC has multiple features for tracking QC data including Westgard rules for clinical validity, laboratory-defined thresholds and historical observations within a specified time period. Users can record their notes and corrective actions directly onto the plots for long-term recordkeeping. ChronQC facilitates regular monitoring of clinical NGS to enable adherence to high quality clinical standards. Availability and implementation ChronQC is freely available on GitHub (https://github.com/nilesh-tawari/ChronQC), Docker (https://hub.docker.com/r/nileshtawari/chronqc/) and the Python Package Index. ChronQC is implemented in Python and runs on all common operating systems (Windows, Linux and Mac OS X).
CITATION STYLE
Tawari, N. R., Seow, J. J. W., Perumal, D., Ow, J. L., Ang, S., Devasia, A. G., & Ng, P. C. (2018). ChronQC: A quality control monitoring system for clinical next generation sequencing. Bioinformatics, 34(10), 1799–1800. https://doi.org/10.1093/bioinformatics/btx843
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