Update README.md

README.md

@@ -16,41 +16,24 @@ PAMtools is documented [here](https://fdsteffen.github.io/PAMtools/).
 Download and install
 --------------------
 
-1. Make sure that you have Matlab (including the curvefit and Statistics and machine Learning toolbox installed).
+1. Make sure that you have Matlab (including the curvefit and Statistics and machine Learning toolbox installed). **MatPAM** uses the function `jsonencode()` and therefore requires Matlab 2016b (9.1) or newer
 
 2. Install [PAM](https://gitlab.com/PAM-PIE/PAM)
 
-3. Clone or [download](https://github.com/fdsteffen/PAMtools/archive/master.zip) PAMtools into a directory of your choice.
+3. Clone PAMtools into a directory of your choice.
 ```
 git clone https://github.com/fdsteffen/PAMtools.git
 ```
 
 - Add the **MatPAM** folder to the Matlab search path
 - Install the **PyPAM** module via pip
 ```
-pip install --user git+https://github.com/fdsteffen/PAMtools.git
-or
-pip install --user -e <path/to/PAMtools>
+pip install .
 ```
 
-4. Copy the file in `matpam/profiles/profile PIE.mat`` into the profiles directory in PAM.
+4. Copy the file in `src/pamtools/matpam/profiles/profile PIE.mat` into the profiles directory in PAM.
 
-5. Copy the FCS models in `matpam/models` to the Models directory in PAM
-
-Dependencies
-------------
-
-- **MatPAM** uses the function `jsonencode()` and therefore requires Matlab 2016b (9.1) or newer
-
-- **PyPAM** depends on the following Python packages:
-
-    - numpy
-    - scipy
-    - pandas
-    - matplotlib
-    - seaborn
-    - uncertainties
-    - naturalcolors (get it from [here](https://github.com/fdsteffen/naturalcolors.git))
+5. Copy the FCS models in `src/pamtools/matpam/models` to the Models directory in PAM
 
 ---
 <sup><a name="pymol">1</a></sup> W. Schrimpf, A. Barth, J. Hendrix, D.C. Lamb, *Biophys. J.* **2018**, *114*, 1518–1528. [![](https://img.shields.io/badge/DOI-10.1016/j.bpj.2018.02.035-blue.svg)](https://doi.org/10.1016/j.bpj.2018.02.035)