NACHO
NACHO provides quality control and preprocessing for NanoString nCounter targeted gene expression data.
Key Features:
- Summarize–Visualize–Normalize pipeline: Integrates three explicit steps—summarize, visualize, and normalize—specific to NanoString nCounter data.
- Summarize: Collects and organizes input data into a tidy format to prepare datasets for QC and downstream analysis.
- Visualize: Calculates and visualizes key QC metrics including manufacturer's default QC measures and additional metrics, and generates plots of control-gene expression and principal components analysis (PCA).
- Normalize: Calculates scaling factors and offers multiple normalization methods to preprocess nCounter expression data for downstream analyses.
Scientific Applications:
- QC of nCounter experiments: Assess sample and assay quality for NanoString nCounter targeted expression experiments using manufacturer and additional QC metrics.
- Control-gene and PCA assessment: Evaluate technical variation and sample relationships via control-gene expression plots and principal components analysis.
- Preprocessing for downstream analysis: Apply scaling-factor–based normalization to prepare targeted gene expression data from biofluids and tissues for differential expression or other analyses.
Methodology:
Collect and organize data into a tidy format; compute manufacturer's default and additional QC metrics; generate control-gene expression plots and perform PCA; calculate scaling factors and apply selected normalization methods.
Topics
Details
- License:
- LGPL-3.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Canouil M, Bouland GA, Bonnefond A, Froguel P, ’t Hart LM, Slieker RC. <i>NACHO:</i> an R package for quality control of NanoString nCounter data. Bioinformatics. 2019;36(3):970-971. doi:10.1093/bioinformatics/btz647. PMID:31504159. PMCID:PMC9883715.
PMID: 31504159
PMCID: PMC9883715
Funding: - Innovative Medicines Initiative 2 Joint Undertaking: 115881
- European Genomics Institute for Diabetes: ANR-10-EQPX-07-01, ANR-10-LABX-46
- European Research Council: GEPIDIAB-294785