diff --git a/README.md b/README.md
index 46e5cc7..9b5d666 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# About #
+# About
 
 *FastPCA* is a PCA-calculator programmed in C++11 parallelized with OpenMP.
 
@@ -13,7 +13,7 @@ For bug-reports just open an issue.
 
 Happy Computing.
 
-# Licensing #
+# Licensing
 The code is published "AS IS" under the simplified BSD license.
 For details, please see LICENSE.txt
 
@@ -21,18 +21,31 @@ If you use the code for published works, please cite as
 
 - F. Sittel et al., *Principal component analysis on a torus: Theory and application to protein dynamics*, J. Chem. Phys 147, 244101, 2017; DOI:10.1063/1.4998259
 
+# Installation
+This package can be installed with conda via
+```
+    conda install fastpca -c conda-forge
+```
+If conda is not available, it can be compiled as well.
 
-# Compilation #
-
+# Compilation
+Download this repo
+```
+    git clone https://github.com/moldyn/FastPCA.git
+```
+If `gcc > 7.x.x` is used, please use the following branch
+```
+    git clone --branch fix_gcc8 https://github.com/moldyn/FastPCA.git
+```
 Create a build-directory in the project root and change into
 that directory:
 ```
-    # mkdir build
-    # cd build
+    mkdir build
+    cd build
 ```
 Run cmake, based on the underlying project:
 ```
-    # cmake ..
+    cmake ..
 ```
 Hopefully, everything went right.
 If not, carefully read the error messages.
@@ -41,13 +54,13 @@ Typical errors are missing dependencies...
 If everything is o.k., run make (on multicore machines, use '-j' to parallelize
 compilation, e.g. 'make -j 4' for up to four parallel jobs):
 ```
-    # make
+    make
 ```
 Now, you should find the 'fastca' binary in the 'src' folder.
 
-## Requirements ##
+## Requirements
   * LAPACK
   * Boost (program_options), min. version 1.49
   * cmake, min. version 2.8
-  * g++
+  * g++ <= 7.x.x (otherwise use [fix_gcc8](../../tree/fix_gcc8) branch)