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PrESOgenesis is a Support Vector Machine-based classifier to predict the spermatogenesis/embryogenesis/oogenesis related proteins based on 1920 meaningful protein sequence features.

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PrESOgenesis

  1. Introduction

      PrESOgenesis is a  Support Vector Machine-based classifier  to predict the  
      
      spermatogenesis/embryogenesis/oogenesis  related  proteins  based on  1920  
      
      meaningful protein sequence features. It takes protein/DNA FASTA sequences 
      
      as  input,  and  generate  output  about  the potential of a protein to be 
      
      involved  in spermatogenesis/embryogenesis/oogenesis. PrESOgenesis depends 
      
      on  two programs (libsvm and protr  package in R) and can be run on Linux. 
      
      Also,  it  use  TransDecoder  software  to convert the DNA sequences (mRNA 
      
      transcripts that converted to DNA) to protein.   
    
  2. Pre-requisite

          It just need R software to be installed in your system.
    
  3. Install dependencies

          Drag install.sh file to terminal for automatic installing all of the  
          
          dependencies. This will build and install the libsvm and TransDecoder
          
          software and protr package.
          
      
      		$ gzip -dc PrESOgenesis.tar.gz | tar x 
      
      		$ cd PrESOgenesis
      
     		$ chmod 777  /full/path/to/install.sh
     		
     		$ /full/path/to/install.sh
    
  4. Run PrOSEgenesis

      		$ /full/path/to/PrESOgenesis    /full/path/to/Candidates.fa
    
  5. Output

     The results will be stored in PrESOgenesis_resultss.txt. The score represents a 
    
     protein's probability of belonging to the  spermatogenesis/embryogenesis/oogenesis. 
    
     PrESOgenesis applied  a probability  score  >0.5 to designate putative related protein.  
    

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PrESOgenesis is a Support Vector Machine-based classifier to predict the spermatogenesis/embryogenesis/oogenesis related proteins based on 1920 meaningful protein sequence features.

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