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Load and normalise

Read RCC files, compute quality-control metrics and normalise counts.

load_rcc()
Produce a "nacho" object from RCC NanoString files
read_nacho()
Read a saved NACHO object
upgrade_nacho()
Convert a NACHO 2 object to NACHO 3
as_summarized_experiment() as_nacho()
Convert between nacho objects and Bioconductor containers
nacho_thresholds()
Quality-control thresholds
write_thresholds() read_thresholds()
Write and read quality-control thresholds
normalise()
(Re)normalise a nacho object
exclude_outliers()
Drop outliers and normalise the other samples again
housekeeping_stability()
Rank genes by expression stability
suggest_ruv_k()
Suggest how many unwanted factors RUVg should remove
batch_diagnostics()
Batch and confounding diagnostics

Visualise and report

Explore quality control interactively, plot a single metric, or write a full report.

visualise()
Explore and tune quality control in the NACHO app
autoplot.nacho
Plot the quality control of a nacho object
nacho-methods
Basic methods for a nacho object
nacho_counts() nacho_samples() nacho_probes() nacho_qc()
Get the content of a nacho object
filter_detected()
Keep genes detected in enough samples
render()
Render the quality-control report of a nacho object

Shiny application

nacho_app()
Run the NACHO app
deploy()
Deploy (copy) the Shiny application to the specified directory

Data

GSE74821
A "nacho" object with 48 samples from the GSE74821 dataset