jpredapi
========
.. image:: https://img.shields.io/pypi/l/jpredapi.svg
:target: https://choosealicense.com/licenses/mit
:alt: License information
.. image:: https://img.shields.io/pypi/v/jpredapi.svg
:target: https://pypi.org/project/jpredapi
:alt: Current library version
.. image:: https://img.shields.io/pypi/pyversions/jpredapi.svg
:target: https://pypi.org/project/jpredapi
:alt: Supported Python versions
.. image:: https://readthedocs.org/projects/jpredapi/badge/?version=latest
:target: https://jpredapi.readthedocs.io/en/latest/?badge=latest
:alt: Documentation status
.. image:: https://api.travis-ci.org/MoseleyBioinformaticsLab/jpredapi.svg?branch=master
:target: https://travis-ci.org/MoseleyBioinformaticsLab/jpredapi
:alt: Travis CI status
The `jpredapi` package provides a simple Python interface for submitting
and retrieving jobs from JPred: A Protein Secondary Structure Prediction Server
(JPred_).
This is unofficial Python port of `jpredapi` perl script that can be found here:
http://www.compbio.dundee.ac.uk/jpred4/api.shtml
Links
~~~~~
* jpredapi @ GitHub_
* jpredapi @ PyPI_
* Documentation @ ReadTheDocs_
Installation
~~~~~~~~~~~~
Install on Linux, Mac OS X
--------------------------
.. code:: bash
python3 -m pip install jpredapi
Install on Windows
------------------
.. code:: bash
py -3 -m pip install jpredapi
.. note:: Read the `User Guide`_ and `The jpredapi Tutorial`_ on ReadTheDocs_
to learn more and to see code examples on using the `jpredapi` as a
library and as a command-line tool.
License
~~~~~~~
This package is distributed under the MIT_ `license`.
.. _pip: https://pip.pypa.io
.. _JPred: http://www.compbio.dundee.ac.uk/jpred
.. _GitHub: https://github.com/MoseleyBioinformaticsLab/jpredapi
.. _ReadTheDocs: http://jpredapi.readthedocs.io
.. _PyPI: https://pypi.org/project/jpredapi
.. _User Guide: http://jpredapi.readthedocs.io/en/latest/guide.html
.. _The jpredapi Tutorial: http://jpredapi.readthedocs.io/en/latest/tutorial.html
.. _MIT: https://choosealicense.com/licenses/mit
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"description": "jpredapi\n========\n\n.. image:: https://img.shields.io/pypi/l/jpredapi.svg\n :target: https://choosealicense.com/licenses/mit\n :alt: License information\n\n.. image:: https://img.shields.io/pypi/v/jpredapi.svg\n :target: https://pypi.org/project/jpredapi\n :alt: Current library version\n\n.. image:: https://img.shields.io/pypi/pyversions/jpredapi.svg\n :target: https://pypi.org/project/jpredapi\n :alt: Supported Python versions\n\n.. image:: https://readthedocs.org/projects/jpredapi/badge/?version=latest\n :target: https://jpredapi.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation status\n\n.. image:: https://api.travis-ci.org/MoseleyBioinformaticsLab/jpredapi.svg?branch=master\n :target: https://travis-ci.org/MoseleyBioinformaticsLab/jpredapi\n :alt: Travis CI status\n\n\nThe `jpredapi` package provides a simple Python interface for submitting\nand retrieving jobs from JPred: A Protein Secondary Structure Prediction Server\n(JPred_).\n\nThis is unofficial Python port of `jpredapi` perl script that can be found here:\nhttp://www.compbio.dundee.ac.uk/jpred4/api.shtml\n\n\nLinks\n~~~~~\n\n * jpredapi @ GitHub_\n * jpredapi @ PyPI_\n * Documentation @ ReadTheDocs_\n\n\nInstallation\n~~~~~~~~~~~~\n\nInstall on Linux, Mac OS X\n--------------------------\n\n.. code:: bash\n\n python3 -m pip install jpredapi\n\nInstall on Windows\n------------------\n\n.. code:: bash\n\n py -3 -m pip install jpredapi\n\n.. note:: Read the `User Guide`_ and `The jpredapi Tutorial`_ on ReadTheDocs_\n to learn more and to see code examples on using the `jpredapi` as a\n library and as a command-line tool.\n\n\nLicense\n~~~~~~~\n\nThis package is distributed under the MIT_ `license`.\n\n\n.. _pip: https://pip.pypa.io\n.. _JPred: http://www.compbio.dundee.ac.uk/jpred\n\n.. _GitHub: https://github.com/MoseleyBioinformaticsLab/jpredapi\n.. _ReadTheDocs: http://jpredapi.readthedocs.io\n.. _PyPI: https://pypi.org/project/jpredapi\n.. _User Guide: http://jpredapi.readthedocs.io/en/latest/guide.html\n.. _The jpredapi Tutorial: http://jpredapi.readthedocs.io/en/latest/tutorial.html\n.. _MIT: https://choosealicense.com/licenses/mit",
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