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NACHO: an R package for quality control of NanoString nCounter data.
Canouil, Mickaël; Bouland, Gerard A; Bonnefond, Amélie; Froguel, Philippe; 't Hart, Leen M; Slieker, Roderick C.
Affiliation
  • Canouil M; Université de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
  • Bouland GA; Department of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
  • Bonnefond A; Université de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
  • Froguel P; Department of Medicine, Section of Genomics of Common Disease, Imperial College London, London SW7 2AZ, UK.
  • 't Hart LM; Université de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
  • Slieker RC; Department of Medicine, Section of Genomics of Common Disease, Imperial College London, London SW7 2AZ, UK.
Bioinformatics ; 36(3): 970-971, 2020 02 01.
Article in En | MEDLINE | ID: mdl-31504159
SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: NACHO is available as an R-package on CRAN and the development version on GitHub https://github.com/mcanouil/NACHO. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Software Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: France

Full text: 1 Database: MEDLINE Main subject: Software Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: France