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Computational Biology

Most of the algorithms were implemented with help of pseudo-codes from MIT - Computational Biology lectures.

  • Gene Alignment with Dynamic Programming
  • Hidden Markov Model with Viterbi Algorithm to find GC rich regions in DNA
  • Burrows - Wheeler Transform to find matches
  • Gene annotation visualization of GFF Files with using pyGUI, GFF Parser, Biopython and DnaFeaturesViewer

The user interface:

The output:

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Codes from exercise for bioinformatic, genomics vs.

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