[![Travis-CI Build Status](https://travis-ci.org/ctlab/phantasus.svg?branch=master)](https://travis-ci.org/ctlab/phantasus) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/ctlab/phantasus?branch=master&svg=true)](https://ci.appveyor.com/project/ctlab/phantasus) [![codecov](https://codecov.io/gh/ctlab/phantasus/branch/master/graph/badge.svg)](https://codecov.io/gh/ctlab/phantasus) This project contains several tools for gene expression analysis with help of R/Bioconductor` ## Installation The package requires installing `devtools` package and Bioconductor library set up. ```{r} devtools::install_github("ctlab/phantasus") ``` A warning could appear that the repository contain submodules. This warning can be safely ignored. ## Running In R: ```{r} library(phantasus) servePhantasus('0.0.0.0', 8000, cacheDir='cache') ``` Open `http://localhost:8000` in your browser. ## System dependencies There are several system packages that have to be installed on the system. The names of these packages will be displayed during installation. On Ubuntu can install them beforehand and all together using command: ```{bash} sudo apt-get install libapparmor-dev libprotobuf-dev protobuf-compiler libcurl4-openssl-dev libssl-dev libxml2-dev ``` ## Docker To simplify deployment phantasus Docker image can be used. It is build regularly and is available at https://hub.docker.com/r/dzenkova/phantasus and can be run with the following commands: ```{bash} docker pull dzenkova/phantasus docker run -t -d -p 80:80 dzenkova/phantasus ```