whbrewer / seqal-spc

Global and local sequence alignment algorithms

This was forked from: https://github.com/alevchuk/pairwise-alignment-in-python

and modified to read an INI input file so that it will work with SPC https://github.com/whbrewer/spc

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Pairwise string alignment in Python.

My contribution will be:

• Code cleanup
• Support of arbitrary alphabets of input strings (no similarity matrix)
• Support of both variants:
  1. Smith-Waterman = local alignment
  2. Needleman-Wunsch = global alignment

Original Smith-Waterman implementation in Python was forked from http://narnia.cs.ttu.edu/drupal/node/104 by Forrest Sheng Bao http://fsbao.net a free software licensed under GNU General Public License (GPL)

A copy of GPL version 3 has been placed into the file LICENSE.