TPP2D

Detection of ligand-protein interactions from 2D thermal profiles (DLPTP)


Bioconductor version: Release (3.20)

Detection of ligand-protein interactions from 2D thermal profiles (DLPTP), Performs an FDR-controlled analysis of 2D-TPP experiments by functional analysis of dose-response curves across temperatures.

Author: Nils Kurzawa [aut, cre], Holger Franken [aut], Simon Anders [aut], Wolfgang Huber [aut], Mikhail M. Savitski [aut]

Maintainer: Nils Kurzawa <nilskurzawa at gmail.com>

Citation (from within R, enter citation("TPP2D")):

Installation

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


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

BiocManager::install("TPP2D")

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("TPP2D")
Introduction to TPP2D for 2D-TPP analysis HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataImport, Proteomics, Software
Version 1.22.0
In Bioconductor since BioC 3.9 (R-3.6) (5.5 years)
License GPL-3
Depends R (>= 3.6.0), stats, utils, dplyr, methods
Imports ggplot2, tidyr, foreach, doParallel, openxlsx, stringr, RCurl, parallel, MASS, BiocParallel, limma
System Requirements
URL http://bioconductor.org/packages/TPP2D
Bug Reports https://support.bioconductor.org/
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Suggests knitr, testthat, rmarkdown, BiocStyle
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Package Archives

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

Source Package TPP2D_1.22.0.tar.gz
Windows Binary (x86_64) TPP2D_1.22.0.zip
macOS Binary (x86_64) TPP2D_1.22.0.tgz
macOS Binary (arm64) TPP2D_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/TPP2D
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TPP2D
Bioc Package Browser https://code.bioconductor.org/browse/TPP2D/
Package Short Url https://bioconductor.org/packages/TPP2D/
Package Downloads Report Download Stats