Body: <p>I want to implement SEG in my MATLAB environment and I'm relying on Wootton and Federhen (<a href="https://www.sciencedirect.com/science/article/abs/pii/009784859385006X" rel="nofollow noreferrer">1993</a>)
  Reading the article I cannot succeed to understand what kind of process I have to implement in order to build my script. Specifically what kind of statistics I should follow to compute the complexity state and the repetition vector and what kind of procedure I have to do to calculate these statistics over the amino acid sequence.</p>
  <p>Do you know some articles that explains in a better fashion what is needed, namely the mathematical process behind the results shown in the article? Code examples in other languages welcome.
  Thank you in advance</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-28T16:22:13.077Z
Comments.Text: You might want to be more specific here. What part are you struggling with in that paper?  At a glance it appears well explained —no mathemagic. Or is converting summations &co. to quick vector calculus Matlab without for-loops or converting a string (cell of characters) to a vector, which in Matlab is annoying?
Comments.UserDisplayName: Matteo Ferla
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-29T11:36:25.657Z
Comments.Text: It is not a problem about the code. It is a problem about the various passages that I should follow. Basically, reading the article, it is not very clear about what kind of statistics I should follow to compute the complexity state and the repetition vector and what kind of procedure I have to do to calculate these statistics over the amino acid sequence. The article is not very clear and I was searching for some more detailed threads to follow in order to understand what I have to do in whatever programming language.
Comments.UserDisplayName: Spartan 117
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-29T12:39:46.727Z
Comments.Text: I edited your question accordingly and to nudge it back to the top —comments do not trigger this.
Comments.UserDisplayName: Matteo Ferla
Tags: <r><python><sequence-analysis><protein-structure><matlab>
Title: How to implement SEG (Wootton and Federhen ,1993) algorithm?
ThreadText: # How to implement SEG (Wootton and Federhen ,1993) algorithm?
  
  (Asked by: username_0 on 2020-07-25)
  
  I want to implement SEG in my MATLAB environment and I'm relying on Wootton and Federhen ([1993](https://www.sciencedirect.com/science/article/abs/pii/009784859385006X))
  Reading the article I cannot succeed to understand what kind of process I have to implement in order to build my script. Specifically what kind of statistics I should follow to compute the complexity state and the repetition vector and what kind of procedure I have to do to calculate these statistics over the amino acid sequence.
  
  Do you know some articles that explains in a better fashion what is needed, namely the mathematical process behind the results shown in the article? Code examples in other languages welcome.
  Thank you in advance
  
  **Tags:** r, python, sequence-analysis, protein-structure, matlab
  
  > **Comments:**
  > **username_1**: You might want to be more specific here. What part are you struggling with in that paper?  At a glance it appears well explained —no mathemagic. Or is converting summations &co. to quick vector calculus Matlab without for-loops or converting a string (cell of characters) to a vector, which in Matlab is annoying?  
  > **username_0**: It is not a problem about the code. It is a problem about the various passages that I should follow. Basically, reading the article, it is not very clear about what kind of statistics I should follow to compute the complexity state and the repetition vector and what kind of procedure I have to do to calculate these statistics over the amino acid sequence. The article is not very clear and I was searching for some more detailed threads to follow in order to understand what I have to do in whatever programming language.  
  > **username_1**: I edited your question accordingly and to nudge it back to the top —comments do not trigger this.  
  
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  ## 0 answers
  
  