semvec/pypi-packages huggingface dataset:
gypsum-client 0.2.0
Python client to gypsum REST API
License: MIT
Requires Python: >=3.8

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# Python client to the gypsum REST API


The `gypsum_client` package provides the Python client to any instance of the [gypsum REST API](https://gypsum.artifactdb.com). This allows client (both in **R** and **Python**) packages to easily store and retrieve resources from the **gypsum** backend.
It also provides mechanisms to allow package maintainers to easily manage upload authorizations and third-party contributions.

Readers are referred to [API's documentation](https://github.com/ArtifactDB/gypsum-worker) for a description of the concepts; this guide will strictly focus on the usage of the `gypsum_client` package.

**Note: check out the R/Bioconductor package for the gypsum REST API [here](https://github.com/ArtifactDB/gypsum-R).**

## Installation

Package is published to [PyPI](https://pypi.org/project/gypsum-client/),

```sh
pip install gypsum_client
```

Check out the [documentation](https://artifactdb.github.io/gypsum-py/) for more information.

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## Note

This project has been set up using PyScaffold 4.5. For details and usage
information on PyScaffold see https://pyscaffold.org/.
pyssw 0.1.7
Python wrapper for SSW alignment
License: MIT

# pyssw: python wrapper for Smith-Waterman Python Module

The C code for SWW alignment is derived from:
[original source repository](https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library)

Please cite this [PLOS ONE paper](http://dx.plos.org/10.1371/journal.pone.0082138) by Zhao et al. 2013

## Overview

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 instruction level. It can return the Smith-Waterman score,
alignment location and traceback path (cigar) of the optimal alignment
accurately; and return the sub-optimal alignment score and location
heuristically.

Note: When SSW open a gap, the gap open penalty alone is applied.

## Installation

from [PyPi](https://pypi.org/project/pyssw/)

    pip install pyssw


or from source
    
    git clone  https://github.com/Runsheng/pyssw.git
    cd pyssw
    pip install .