text: user2817: I want to code Moreau-Broto autocorrelation, Moran autocorrelation, Geary autocorrelation in Python 3.6 from the scratch for amino acid sequences without using any package. Unfortunately, I have not been able to come across a proper literature which shows how these autocorrelation indices have to be calculated. Can anyone give a clear explanation as to how to calculate it or at least give a link which has got a clear description of how to calculate these?
  
  user450: Rajarshi Guha describes the formulas to calculate Moreau Broto autocorrelation, Moran coefficient and Geary coefficient and has a bibliography.
  But why reinvent the wheel? It seems that the Autocorrelation module of the PyBioMed package does already what you want: it is a pure Python implementation without any external dependencies.
  
original_text: 2817: <p>I want to code Moreau-Broto autocorrelation, Moran autocorrelation, Geary autocorrelation in Python 3.6 from the scratch for amino acid sequences without using any package. Unfortunately, I have not been able to come across a proper literature which shows how these autocorrelation indices have to be calculated. Can anyone give a clear explanation as to how to calculate it or at least give a link which has got a clear description of how to calculate these?</p>
   450: <p>Rajarshi Guha describes the formulas to calculate <a href="http://www.rguha.net/writing/notes/desc/node2.html" rel="nofollow noreferrer">Moreau Broto autocorrelation, Moran coefficient and Geary coefficient</a> and has a <a href="http://www.rguha.net/writing/notes/desc/node8.html" rel="nofollow noreferrer">bibliography</a>.</p>
  
  <p>But why reinvent the wheel? It seems that the <a href="http://pybiomed.readthedocs.io/en/latest/_modules/Autocorrelation.html" rel="nofollow noreferrer">Autocorrelation module</a> of the <a href="http://pybiomed.readthedocs.io/en/latest/index.html" rel="nofollow noreferrer">PyBioMed</a> package does already what you want: it is a pure Python implementation without any external dependencies.</p>
  