ssw is a fast implementation of the Smith-Waterman algorithm, which uses the Single-Instruction Multiple-Data (SIMD) instructions to parallelize the algorithm at the CPU level. This repository wraps the SSW library into an easy to install, high-level python interface with no external library dependancies.
The SSW library is written by Mengyao Zhao and Wan-Ping Lee, and this python interface is maintained by Giles Hall.
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Release files for ssw 0.4.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| ssw-0.4.1.tar.gz | 17.4 kB | Without provenance | Details |
Release files / ssw-0.4.1.tar.gz
| Download URL | ssw-0.4.1.tar.gz |
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| Size | 17.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
a0c090ccc4efee269aa9855f31b1e5c4411c293e569788b43a8a43cd64d949b0
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.8.0 tqdm/4.31.1 CPython/3.7.1
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Security for ssw 0.4.1
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