Another one in the long series of same same, but different installation instructions for CellProfiler:
The following has been tested on a fresh Linux Mint 17.3.
The goal of these instructions is to use packages provided by the Linux distribution wherever possible, and to install the rest in a non-obtrusive way in the user’s home directory (to avoid conflicts or unexpected behavior of the system). In other words: there is no excessive use of sudo here, as in many other how-to’s out there…
Prepare Ubuntu packages
First all packages that are available through Ubuntu’s own repositories will be installed. This includes Python itself, its required packages, git and Java:
sudo apt-get install —yes \ build-essential \ cython \ git \ libpython-stdlib \ openjdk-7-jdk \ python-h5py \ python-lxml \ python-matplotlib \ python-mysqldb \ python-pandas \ python-pip \ python-scipy \ python-skimage \ python-vigra \ python-wxgtk2.8 \ python-wxgtk2.8 \ python-zmq \ python2.7-dev
Install additional Python packages
Some of the required packages are not available through Ubuntu, so they have to be installed manually.
/usr/bin/pip install —user —no-deps \ javabridge \ python-bioformats \ hmmlearn \ centrosome \ cellh5 \ inflect
Now there is one remaining package which has to be shown to be particularly nasty during installation while creating this how-to, that is prokaryote. My recommendation is to install it in verbose mode, so you can see what’s going on, especially as it has to retrieve a quite large JAR file (>130 MB) from github, which can sometimes be extremely slow.
/usr/bin/pip install —user —no-deps -vvv prokaryote
Prepare the environment
export JAVA_HOME=”/usr/lib/jvm/java-7-openjdk-amd64” export LD_LIBRARY_PATH=”$JAVA_HOME/jre/lib/amd64/server”
Get CellProfiler and run it
Beware that if you’re connected via ssh, make sure to enable X-forwarding (e.g. by using ssh -X for connecting) to be able to display CellProfiler’s GUI.
git clone https://github.com/CellProfiler/CellProfiler.git cd CellProfiler/ /usr/bin/python CellProfiler.py
Not (yet) covered: integration of Ilastik