README.md

rRice package

This project has been made to simplify the work of biologists when they are studying the rice genome. The aim of this project is to support analysis of the rice genomics, including the downstream analysis of GWAS such as gene annotation, QTL analysis and primer design.

Overview

This rRice package will allow the biologist to :

Requirements

The installation of the rRice package will require few tools on your computer : R Python3 with few libraries available (pandas, requests, bs4, json, gzip and lxml)

Installation

If you want to install rRice package you will have to follow the instructions below :

To install rRice package, start R and enter write the following lines :

source("https://bioconductor.org/biocLite.R")
biocLite("rRice")

Licence

The rRice package is licenced under the Artistic-2.0



rricepackage/rRice documentation built on Jan. 21, 2018, 5:35 p.m.