NPARC

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


Bioconductor version: Release (3.20)

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")):

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("NPARC")

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

Documentation

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

browseVignettes("NPARC")
Analysing thermal proteome profiling data with the NPARC package HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Proteomics, Software
Version 1.18.0
In Bioconductor since BioC 3.11 (R-4.0) (4.5 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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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package NPARC_1.18.0.tar.gz
Windows Binary (x86_64) NPARC_1.18.0.zip
macOS Binary (x86_64) NPARC_1.18.0.tgz
macOS Binary (arm64) NPARC_1.18.0.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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