NPARC

DOI: 10.18129/B9.bioc.NPARC    

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see NPARC.

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

Bioconductor version: 3.14

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 <nils.kurzawa at embl.de>

Installation

To install this package, start R (version "4.1") 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")

 

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

Details

biocViews	Proteomics, Software
Version	1.6.0
In Bioconductor since	BioC 3.11 (R-4.0) (2 years)
License	GPL-3
Depends	R (>= 4.0.0)
Imports	dplyr, tidyr, BiocParallel, broom, MASS, rlang, magrittr, stats, methods
LinkingTo
Suggests	testthat, devtools, knitr, rprojroot, rmarkdown, ggplot2, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	NPARC_1.6.0.tar.gz
Windows Binary	NPARC_1.6.0.zip
macOS 10.13 (High Sierra)	NPARC_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/NPARC
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/NPARC
Package Short Url	https://bioconductor.org/packages/NPARC/
Package Downloads Report	Download Stats