Name Mode Size
R 040000
data 040000
inst 040000
man 040000
tests 040000
vignettes 040000
.Rbuildignore 100644 0 kb
.gitignore 100644 0 kb
.travis.yml 100644 0 kb
DESCRIPTION 100644 1 kb
NAMESPACE 100644 2 kb
NEWS 100644 1 kb
README.md 100644 1 kb
README.md
# TPP2D [![Build Status](https://travis-ci.org/nkurzaw/TPP2D.svg?branch=master)](https://travis-ci.org/nkurzaw/TPP2D) [![codecov](https://codecov.io/gh/nkurzaw/TPP2D/branch/master/graph/badge.svg)](https://codecov.io/gh/nkurzaw/TPP2D) > Detection of ligand-protein interactions from thermal proteome profiles (DLPTP) by FDR-controlled analysis of 2D-TPP experiments This package contains functions to analyze 2D-thermal proteome profiles using the DLPTP (detection of ligand-protein interactions from thermal proteome profiles) approach. This is done by fitting two nested models (null and alternative) to the thermal profile of each protein and asking whether the alternative model explains the variance in the data significantly better than the null. <img align="right" src="inst/tpp2DHexSticker.png" height="300"/> ## Installation ### Installation from Bioconductor (recommended) The `TPP2D` package has been accepted into Bioconductor! Therefore, the most reliable way to install it is via BiocManager: ```{R} if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("TPP2D") ``` ### Installation of the development version ```{R} BiocManager::install(“nkurzaw/TPP2D”) ``` ## Getting started The easiest way of learning how to use the `TPP2D` package is to browse it's vignette: ```{R} library(TPP2D) browseVignettes("TPP2D") ```