README.md

In melinagallopin/appinetwork: construction and Analysis of Protein-Protein Interactions (PPI) networks for complexes and biological processes

appinetwork

An R package for constructing and Analysing of Protein-Protein Interactions (PPI) NETWORKs for complexes and biological processes

Installation

We assume that R, Python version 2.7 and C are installed, prior to any attempt to install the package appinetwork.

To install this package from git, you need the devtools package using the following command in R :

install.packages("devtools")
library("devtools")

Now you can install our package from Github using the following command in R :

devtools::install_github("melinagallopin/appinetwork")

You need the version R 3.2.0+. If you do not have the latest version of R installed, it should work as long as you install the dependencies first with the following commands in R:

install.packages( pkgs = c("R.methodsS3","rPython","stringr","rlang"), dependencies = TRUE)

Installion on Windows and Mac Os might be more difficult : we advice to try the installation under R version 3.5.0.

install.packages("devtools")
library("devtools")
install.packages( pkgs = c("R.methodsS3","rPython","stringr","rlang"), dependencies = TRUE)
devtools::install_github("melinagallopin/appinetwork")

Examples

This package implements a function interface() which enables to format PPI databses and performs two mains analysis : model complexes assembly intermediaries and cluster PPI networks. The step by step procedure is described here : userguide

For more information : read the userguide

melinagallopin/appinetwork documentation built on Nov. 13, 2020, 2:18 p.m.