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This is the development version of NPARC; for the stable release version, see NPARC.

Non-parametric analysis of response curves for thermal proteome profiling experiments

Bioconductor version: Development (3.19)

Perform non-parametric analysis of response curves as described by Childs, Bach, Franken et al. (2019): Non-parametric analysis of thermal proteome profiles reveals novel drug-binding proteins.

Author: Dorothee Childs, Nils Kurzawa

Maintainer: Nils Kurzawa <nilskurzawa at gmail.com>

Citation (from within R, enter citation("NPARC")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Analysing thermal proteome profiling data with the NPARC package HTML R Script
Reference Manual PDF


biocViews Proteomics, Software
Version 1.15.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends R (>= 4.0.0)
Imports dplyr, tidyr, BiocParallel, broom, MASS, rlang, magrittr, stats, methods
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Suggests testthat, devtools, knitr, rprojroot, rmarkdown, ggplot2, BiocStyle
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Source Package NPARC_1.15.0.tar.gz
Windows Binary NPARC_1.15.0.zip
macOS Binary (x86_64) NPARC_1.15.0.tgz
macOS Binary (arm64) NPARC_1.15.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/NPARC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/NPARC
Bioc Package Browser https://code.bioconductor.org/browse/NPARC/
Package Short Url https://bioconductor.org/packages/NPARC/
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