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
Metadata
Release files for pairwiseAlignment 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pairwiseAlignment-0.2.3.tar.gz | 8.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pairwiseAlignment-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.9 kB
Release files / pairwiseAlignment-0.2.3.tar.gz
| Download URL | pairwiseAlignment-0.2.3.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
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Release files / pairwiseAlignment-0.2.3-py3-none-any.whl
| Download URL | pairwiseAlignment-0.2.3-py3-none-any.whl |
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| Size | 8.9 kB |
| Tags | Python 3 |
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