Dockerfile

# To run it locally you need
# 1) Allow local appliaction to use your Xserver
# 
#     xhost +local:root
# 
# 2) mount the display and the temporary directory 
# 
# 
#     docker run -d -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix:rw st_viewer
#

FROM ubuntu:17.10

RUN apt-get update && apt-get install -y \
	autoconf \
	automake \
	make \
	g++ \
	gcc \
	build-essential \ 
	git \
	ubuntu-dev-tools \
	libglu1-mesa-dev \
	freeglut3-dev \
	mesa-common-dev \
	wget \
	libfontconfig1 \
	qt5-default \
	qtbase5-dev \
	libqt5charts5-dev \
	libqt5svg5-dev \
	libarmadillo-dev \
	r-base \
	r-cran-rcpparmadillo \
	&& rm -rf /var/lib/apt/lists/*

# Install cmake
RUN wget https://cmake.org/files/v3.7/cmake-3.7.2.tar.gz && \
    tar -xvzf cmake-3.7.2.tar.gz && \
    cd cmake-3.7.2 && \
    ./configure && \
    make -j4 && \
    make install


# Install Qt (Faking display)
# Installed via Apt

# DONWLOAD the QCustomplot
RUN wget http://www.qcustomplot.com/release/1.3.2/QCustomPlot.tar.gz && \
    mkdir /opt/QCustomPlot && tar xf QCustomPlot.tar.gz -C /opt/QCustomPlot


# Downlaod Armadillo debs and install
# Installed via apt

# Install R deps
RUN echo "r <- getOption('repos'); r['CRAN'] <- 'http://cran.us.r-project.org'; options(repos = r);" > ~/.Rprofile
RUN Rscript -e "source('https://bioconductor.org/biocLite.R'); biocLite('DESeq2'); biocLite('scran'); biocLite('Rtsne')"
RUN Rscript -e "install.packages('RInside')"

# Installed via APT for easier compilation.
#RUN Rscript -e "install.packages('Rcpp')"
#RUN Rscript -e "install.packages('RcppArmadillo')"

WORKDIR /opt/
RUN mkdir /opt/st_viewer
WORKDIR /opt/st_viewer 
ADD . . 
RUN mkdir st_viewer_build
WORKDIR /opt/st_viewer/st_viewer_build

# Optimize this in one line.
RUN cmake -DCMAKE_BUILD_TYPE="Release" -DCMAKE_PREFIX_PATH="/opt/QCustomPlot/qcustomplot" .. \
	&& make -j4
#	&& make install

CMD ["/opt/st_viewer/st_viewer_build/STViewer"]