Evidence map›Paper›PMID 31504159›Full record

ArticleBioinformatics (Oxford, England)2020

NACHO: an R package for quality control of NanoString nCounter data.

Mickaël Canouil, Gerard A Bouland, Amélie Bonnefond, Philippe Froguel, Leen M 't Hart, Roderick C Slieker

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Differential transcriptional and epigenetic signatures in CD4Journal of translational autoimmunity · 2026
    Article
  2. Article
  3. Article
  4. Challenges and opportunities in processing NanoString nCounter data.Computational and structural biotechnology journal · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Easy NanoString nCounter data analysis with the NanoTube.Bioinformatics (Oxford, England) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 3 countries.

Mickaël CanouilUniversité de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
Gerard A BoulandDepartment of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Amélie BonnefondUniversité de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
Philippe FroguelUniversité de Lille, CNRS, Institut Pasteur de Lille, UMR 8199 - EGID, F-59000 Lille, France.
Leen M 't HartDepartment of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Roderick C SliekerDepartment of Cell and Chemical Biology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Centre National de la Recherche Scientifique · FRLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryThe 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.

Indexed as

SoftwareQuality Control

Identifiers

PMID31504159
PMCPMC9883715
OpenAlexW2969514086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.