.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/gallery/sequence/annotation/operon_map.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_gallery_sequence_annotation_operon_map.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_gallery_sequence_annotation_operon_map.py:


Feature map of a synthetic operon
=================================

This script shows how to create a picture of an synthetic operon for
publication purposes.

.. GENERATED FROM PYTHON SOURCE LINES 8-49



.. image-sg:: /examples/gallery/sequence/annotation/images/sphx_glr_operon_map_001.png
   :alt: operon map
   :srcset: /examples/gallery/sequence/annotation/images/sphx_glr_operon_map_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # Code source: Patrick Kunzmann
    # License: BSD 3 clause

    import matplotlib.pyplot as plt
    import biotite.sequence.graphics as graphics
    from biotite.sequence import Annotation, Feature, Location

    strand = Location.Strand.FORWARD
    prom = Feature(
        "regulatory",
        [Location(10, 50, strand)],
        {"regulatory_class": "promoter", "note": "T7"},
    )
    rbs1 = Feature(
        "regulatory",
        [Location(60, 75, strand)],
        {"regulatory_class": "ribosome_binding_site", "note": "RBS1"},
    )
    gene1 = Feature("gene", [Location(81, 380, strand)], {"gene": "gene1"})
    rbs2 = Feature(
        "regulatory",
        [Location(400, 415, strand)],
        {"regulatory_class": "ribosome_binding_site", "note": "RBS2"},
    )
    gene2 = Feature("gene", [Location(421, 1020, strand)], {"gene": "gene2"})
    term = Feature(
        "regulatory", [Location(1050, 1080, strand)], {"regulatory_class": "terminator"}
    )
    annotation = Annotation([prom, rbs1, gene1, rbs2, gene2, term])

    fig = plt.figure(figsize=(8.0, 0.8))
    ax = fig.add_subplot(111)
    graphics.plot_feature_map(
        ax,
        annotation,
        multi_line=False,
        loc_range=(1, 1101),
    )
    fig.tight_layout()
    plt.show()


.. _sphx_glr_download_examples_gallery_sequence_annotation_operon_map.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: operon_map.ipynb <operon_map.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: operon_map.py <operon_map.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_