Metadata-Version: 2.1
Name: fqfa
Version: 0.0.2
Summary: A lightweight Python library for handling FASTQ and FASTA files.
Home-page: https://github.com/CountESS-Project/fqfa
Author: Alan F Rubin
Author-email: alan.rubin@wehi.edu.au
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

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# fqfa

A pure Python library for handling [FASTQ](https://www.ncbi.nlm.nih.gov/sra/docs/submitformats/#fastq-files) and 
[FASTA]( https://www.ncbi.nlm.nih.gov/BLAST/fasta.shtml) files.

Install fqfa from PyPI using pip:

    pip3 install fqfa

Building the documentation requires the following additional packages:

    pip3 install sphinx
    pip3 install sphinx-rtd-theme

Online documentation including usage examples is available on 
[Read the Docs](https://fqfa.readthedocs.io/en/latest/index.html).

To report a problem or request a new feature, please use the GitHub issue tracker. 

Contributions via pull request are welcome. 
Contributed code should have full unit test coverage, 
[NumPy-style docstrings](https://numpydoc.readthedocs.io/en/latest/format.html#docstring-standard),
[black formatting](https://github.com/psf/black),
and [type hints](https://docs.python.org/3/library/typing.html)..


