Using Python to implement Needleman Wunsch and Smith Waterman algorithms
Project description
Using Python to implement Needleman Wunsch and Smith Waterman algorithms
Introduction
Install
$ pip install pairwiseAlignment
Help
Usage: pairwiseAlignment [OPTIONS]
Using Python to implement Needleman Wunsch and Smith Waterman algorithms
for pairwise sequence alignment
Options:
-1, --seq1 TEXT The first sequence.
-2, --seq2 TEXT The second sequence.
-m, --match FLOAT The match score. [default: 1.0]
-d, --mismatch FLOAT The mismatch penalty. [default: -1.0]
-g, --gap FLOAT The gap open penalty. [default: -2.0]
-e, --extension FLOAT The gap extension penalty. [default: -1.0]
-o, --output TEXT The output directory. [default: output]
-G, --global Choose Global alignment.[default]
-L, --local Choose Local alignment.
-n, --nosave Do not save the alignment result.
--help Show this message and exit
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