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A Profile Hidden Markov Model Generating and testing application

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PyHMM

A Profile Hidden Markov Model Generating and testing application developed towards completion of requirements for CS123B - Intro to Bioinformatics II as a course project.

San Jose State University ..

Installations: requires python2

Steps to run:

Download the files and extract them use the following command to run the model:

python pyHMM.py Algined_nifH_Training.fa.txt model.json

Known Issues:

  • some logical issues in implementation of viterbi algorithm producing erroeneous results

Still to do:

  • Fix viterbi and FA implementations
  • make model generation more robust

Contact: saketh.saxena@sjsu.edu in case of issues

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A Profile Hidden Markov Model Generating and testing application

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