update install instructions

docs/installation.rst

@@ -4,41 +4,28 @@
 Installation
 ============
 
-**CarveMe** currently supports Python 2.7 and Python 3.6, which are available for all major operating systems. We recommend the `Anaconda python
+**CarveMe** currently supports Python 3.6 and 3.7.
+We recommend using the `Anaconda python
 distribution <https://www.continuum.io/downloads>`_.
 
-It can be easily installed using the **pip** package manager:
+CarveMe can be easily installed using the **pip** package manager:
 
 .. code-block:: console
 
     $ pip install carveme
 
-This will automatically install other dependencies as well:
-
-- framed_
-- pandas_
-
-.. _framed: https://github.com/cdanielmachado/framed
-.. _pandas: https://pandas.pydata.org/
-
 Additionally, you must manually install two external dependencies:
 
-- diamond_
+- diamond_ (conda install -c bioconda diamond)
 - IBM CPLEX_ Optimizer
 
 .. _diamond: https://github.com/bbuchfink/diamond
-.. _CPLEX: https://www-01.ibm.com/software/commerce/optimization/cplex-optimizer/
+.. _CPLEX: https://www.ibm.com/analytics/cplex-optimizer
 
-Note that you will need to register with IBM to obtain an academic license for CPLEX.
+Note that you will need to register with IBM to obtain an `academic license for CPLEX <https://www.ibm.com/academic/home>`_.
 
-Also, after installing CPLEX, do not forget to install the CPLEX python API (see the CPLEX documentation_ for details).
+**IMPORTANT:** After installing CPLEX, do not forget to install the CPLEX python API (see the CPLEX documentation_ for details).
 
 .. _documentation: https://www.ibm.com/support/knowledgecenter/SSSA5P_12.7.1/ilog.odms.cplex.help/CPLEX/GettingStarted/topics/set_up/Python_setup.html
 
-After installation you should run the initialization script to update the internal data files:
-
-.. code-block:: console
-
-    $ carveme_init
-
 Everything should be ready now! See the next section for instructions on how to start *carving*.