diff --git a/README.rst b/README.rst
index 27aaadc9e..9d211b310 100644
--- a/README.rst
+++ b/README.rst
@@ -15,6 +15,7 @@ EMMA (Emma's Markov Model Algorithms)
 .. image:: https://coveralls.io/repos/markovmodel/PyEMMA/badge.svg?branch=devel
    :target: https://coveralls.io/r/markovmodel/PyEMMA?branch=devel
 
+
 What is it?
 -----------
 PyEMMA (EMMA = Emma's Markov Model Algorithms) is an open source
@@ -25,14 +26,15 @@ of:
   * Clustering and Featurization
   * Markov state models (MSMs)
   * Hidden Markov models (HMMs)
-  * multi-ensemble Markov models (MEMMs)
+  * Multi-ensemble Markov models (MEMMs)
   * Time-lagged independent component analysis (TICA)
   * Transition Path Theory (TPT)
 
-PyEMMA can be used from Jupyther (former IPython, recommended), or by
+PyEMMA can be used from Jupyter (former IPython, recommended), or by
 writing Python scripts. The docs, can be found at
 `http://pyemma.org <http://www.pyemma.org/>`__.
 
+
 Citation
 --------
 If you use PyEMMA in scientific work, please cite:
@@ -46,17 +48,16 @@ If you use PyEMMA in scientific work, please cite:
 Installation
 ------------
 With pip::
- 
-     pip install pyemma
 
-with conda::
+   pip install pyemma
 
-     conda install -c omnia pyemma
+with conda::
 
+   conda install -c omnia pyemma
 
 or install latest devel branch with pip::
 
-     pip install git+https://github.com/markovmodel/PyEMMA.git@devel
+   pip install git+https://github.com/markovmodel/PyEMMA.git@devel
 
 For a complete guide to installation, please have a look at the version 
 `online <http://www.emma-project.org/latest/INSTALL.html>`__ or offline in file
@@ -70,9 +71,10 @@ Then build with make::
 
    cd doc; make html
 
+
 Support and development
 -----------------------
-For bug reports/sugguestions/complains please file an issue on 
+For bug reports/suggestions/complaints please file an issue on 
 `GitHub <http://github.com/markovmodel/PyEMMA>`__.
 
 Or start a discussion on our mailing list: pyemma-users@lists.fu-berlin.de
@@ -83,4 +85,4 @@ External Libraries
 * mdtraj (LGPLv3): https://mdtraj.org
 * bhmm (LGPLv3): http://github.com/bhmm/bhmm
 * msmtools (LGLPv3): http://github.com/markovmodel/msmtools
-
+* thermotools (LGLPv3): http://github.com/markovmodel/thermotools