Université de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
Department of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Bioinformatics. 2020 Feb 1;36(3):970-971. doi: 10.1093/bioinformatics/btz647.
The NanoStringTM nCounter® is a platform for the targeted quantification of expression data in biofluids and tissues. While software by the manufacturer is available in addition to third parties packages, they do not provide a complete quality control (QC) pipeline. Here, we present NACHO ('NAnostring quality Control dasHbOard'), a comprehensive QC R-package. The package consists of three subsequent steps: summarize, visualize and normalize. The summarize function collects all the relevant data and stores it in a tidy format, the visualize function initiates a dashboard with plots of the relevant QC outcomes. It contains QC metrics that are measured by default by the manufacturer, but also calculates other insightful measures, including the scaling factors that are needed in the normalization step. In this normalization step, different normalization methods can be chosen to optimally preprocess data. Together, NACHO is a comprehensive method that optimizes insight and preprocessing of nCounter® data.
NACHO is available as an R-package on CRAN and the development version on GitHub https://github.com/mcanouil/NACHO.
Supplementary data are available at Bioinformatics online.
NanoStringTM nCounter® 是一个用于生物体液和组织中表达数据靶向定量的平台。尽管制造商提供了软件,还有第三方的软件包,但它们都没有提供完整的质量控制(QC)流程。在这里,我们介绍了 NACHO(“Nanostring 质量控制板”),这是一个全面的 QC R 包。该软件包包括三个后续步骤:总结、可视化和归一化。汇总功能收集所有相关数据,并将其存储在整洁的格式中,可视化功能启动一个仪表板,其中包含相关 QC 结果的图表。它包含制造商默认测量的 QC 指标,但也计算了其他有见地的指标,包括归一化步骤中所需的缩放因子。在这个归一化步骤中,可以选择不同的归一化方法来优化数据预处理。总之,NACHO 是一种全面的方法,可以优化 nCounter®数据的洞察和预处理。
NACHO 可作为 CRAN 上的 R 包和 GitHub 上的开发版本使用 https://github.com/mcanouil/NACHO。
补充数据可在 Bioinformatics 在线获取。