hgvs


Namehgvs JSON
Version 1.5.4 PyPI version JSON
download
home_page
SummaryHGVS Parser, Formatter, Mapper, Validator
upload_time2022-11-21 20:03:51
maintainer
docs_urlhttps://pythonhosted.org/hgvs/
author
requires_python>=3.6
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keywords biocommons bioinformatics computational biology genome variation genomics hgvs variation
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            *hgvs* - manipulate biological sequence variants according to Human Genome Variation Society recommendations
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

**Important:** biocommons packages require Python 3.6+.
`More
<https://groups.google.com/forum/#!topic/hgvs-discuss/iLUzjzoD-28>`__


The *hgvs* package provides a Python library to parse, format,
validate, normalize, and map sequence variants according to `Variation
Nomenclature`_ (aka Human Genome Variation Society) recommendations.

Specifically, the hgvs package focuses on the subset of the HGVS
recommendations that precisely describe sequence-level variation
relevant to the application of high-throughput sequencing to clinical
diagnostics.  The package does not attempt to cover the full scope of
HGVS recommendations. Please refer to `issues
<https://github.com/biocommons/hgvs/issues>`_ for limitations.


+--------------------+--------------------------------------------------------------------+
| **Information**    | | |rtd|   |changelog|  |getting_help|                              |
|                    | | |github_license|  |binder|                                       |
+--------------------+--------------------------------------------------------------------+
| **Latest Release** | |github_tag|   |pypi_rel|   |hit|                                  |
+--------------------+--------------------------------------------------------------------+
| **Development**    | | |status_rel|  |coveralls|                                        |
| (main branch)    | | | |issues|  |github_open_pr|   |github_contrib|                    |
|                    | | |github_stars|  |github_forks|                                   |
+--------------------+--------------------------------------------------------------------+



Features
@@@@@@@@

* Parsing is based on formal grammar.
* An easy-to-use object model that represents
  most variant types (SNVs, indels, dups, inverstions, etc) and
  concepts (intronic offsets, uncertain positions, intervals)
* A variant normalizer that rewrites variants in canoncial forms and
  substitutes reference sequences (if reference and transcript
  sequences differ)
* Formatters that generate HGVS strings from internal representations
* Tools to map variants between genome, transcript, and protein sequences
* Reliable handling of regions genome-transcript discrepancies
* Pluggable data providers support alternative sources of transcript mapping
  data
* Extensive automated tests, including those for all variant types and
  "problematic" transcripts
* Easily installed using remote data sources.  Installation with local
  data sources is straightforward and completely obviates network
  access


Important Notes
@@@@@@@@@@@@@@@

* **You are encouraged to** `browse issues
  <https://github.com/biocommons/hgvs/issues>`_.  All known issues are
  listed there.  Please report any issues you find.
* **Use a pip package specification to stay within minor releases.**
  For example, ``hgvs>=1.5,<1.6``. `hgvs` uses `Semantic Versioning
  <http://semver.org/>`__.


Examples
@@@@@@@@

Installation
#############

By default, `hgvs` uses remote data sources, which makes installation
easy.  

::

  $ mkvirtualenv hgvs-test
  (hgvs-test)$ pip install --upgrade setuptools
  (hgvs-test)$ pip install hgvs
  (hgvs-test)$ python

See `Installation instructions
<http://hgvs.readthedocs.org/en/stable/installation.html>`__ for
details, including instructions for installing `Universal Transcript
Archive (UTA) <https://github.com/biocommons/uta/>`__ and `SeqRepo
<https://github.com/biocommons/biocommons.seqrepo/>`__ locally.


Configuration
#############

`hgvs` will use publicly available data sources unless directed
otherwise through environment variables, like so::

  # N.B. These are examples. The correct values will depend on your installation
  $ export UTA_DB_URL=postgresql://anonymous:anonymous@localhost:5432/uta/uta_20210129
  $ export HGVS_SEQREPO_DIR=/usr/local/share/seqrepo/latest

Alternatively, if you are unable to pass the postgresql password in the
UTA_DB_URL environment variable (i.e., generating an auth token), you can set
UTA_DB_URL to ``postgresql://<user>@<host>/<db>/<schema>`` and set PGPASSWORD. For example::

  $ export UTA_DB_URL=postgresql://anonymous@localhost:5432/uta/uta_20210129 PGPASSWORD=anonymous

See the installation instructions for details.


Parsing and Formating
#####################

`hgvs` parses HGVS variants (as strings) into an object model, and can format
object models back into HGVS strings.

.. code-block:: python

  >>> import hgvs.parser

  # start with these variants as strings
  >>> hgvs_g = 'NC_000007.13:g.36561662C>T'
  >>> hgvs_c = 'NM_001637.3:c.1582G>A'

  # parse the genomic variant into a Python structure
  >>> hp = hgvs.parser.Parser()
  >>> var_g = hp.parse_hgvs_variant(hgvs_g)
  >>> var_g
  SequenceVariant(ac=NC_000007.13, type=g, posedit=36561662C>T, gene=None)

  # SequenceVariants are composed of structured objects, e.g.,
  >>> var_g.posedit.pos.start
  SimplePosition(base=36561662, uncertain=False)

  # format by stringification 
  >>> str(var_g)
  'NC_000007.13:g.36561662C>T'


Projecting ("Mapping") variants between aligned genome and transcript sequences
###############################################################################

`hgvs` provides tools to project variants between genome, transcript,
and protein sequences.  Non-coding and intronic variants are
supported.  Alignment data come from the `Universal Transcript Archive
(UTA) <https://github.com/biocommons/uta/>`__.

.. code-block:: python

  >>> import hgvs.dataproviders.uta
  >>> import hgvs.assemblymapper

  # initialize the mapper for GRCh37 with splign-based alignments
  >>> hdp = hgvs.dataproviders.uta.connect()
  >>> am = hgvs.assemblymapper.AssemblyMapper(hdp,
  ...          assembly_name='GRCh37', alt_aln_method='splign',
  ...          replace_reference=True)
  
  # identify transcripts that overlap this genomic variant
  >>> transcripts = am.relevant_transcripts(var_g)
  >>> sorted(transcripts)
  ['NM_001177506.1', 'NM_001177507.1', 'NM_001637.3']

  # map genomic variant to one of these transcripts
  >>> var_c = am.g_to_c(var_g, 'NM_001637.3')
  >>> var_c
  SequenceVariant(ac=NM_001637.3, type=c, posedit=1582G>A, gene=None)
  >>> str(var_c)
  'NM_001637.3:c.1582G>A'

  # CDS coordinates use BaseOffsetPosition to support intronic offsets
  >>> var_c.posedit.pos.start
  BaseOffsetPosition(base=1582, offset=0, datum=Datum.CDS_START, uncertain=False)


Translating coding variants to protein sequences
################################################

Coding variants may be translated to their protein consequences.  HGVS
uses the same pairing of transcript and protein accessions as seen in
NCBI and Ensembl.

.. code-block:: python

   # translate var_c to its protein consequence
   # The object structure of protein variants is nearly identical to
   # that of nucleic acid variants and is converted to a string form
   # by stringification. Per HGVS recommendations, inferred consequences
   # must have parentheses to indicate uncertainty.
   >>> var_p = am.c_to_p(var_c)
   >>> var_p
   SequenceVariant(ac=NP_001628.1, type=p, posedit=(Gly528Arg), gene=None)
   >>> str(var_p)
   'NP_001628.1:p.(Gly528Arg)'

   # setting uncertain to False removes the parentheses on the
   # stringified form
   >>> var_p.posedit.uncertain = False
   >>> str(var_p)
   'NP_001628.1:p.Gly528Arg'

   # formatting can be customized, e.g., use 1 letter amino acids to
   # format a specific variant
   # (configuration may also be set globally)
   >>> var_p.format(conf={"p_3_letter": False})
   'NP_001628.1:p.G528R'



Normalizing variants
####################

Some variants have multiple representations due to instrinsic
biological ambiguity (e.g., inserting a G in a poly-G run) or due to
misunderstanding HGVS recommendations.  Normalization rewrites certain
veriants into a single representation.

.. code-block:: python

  # rewrite ins as dup (depends on sequence context)
  >>> import hgvs.normalizer
  >>> hn = hgvs.normalizer.Normalizer(hdp)
  >>> hn.normalize(hp.parse_hgvs_variant('NM_001166478.1:c.35_36insT'))
  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35dup, gene=None)

  # during mapping, variants are normalized (by default)
  >>> c1 = hp.parse_hgvs_variant('NM_001166478.1:c.31del')
  >>> c1
  SequenceVariant(ac=NM_001166478.1, type=c, posedit=31del, gene=None)
  >>> c1n = hn.normalize(c1)
  >>> c1n
  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35del, gene=None)
  >>> g = am.c_to_g(c1)
  >>> g
  SequenceVariant(ac=NC_000006.11, type=g, posedit=49917127del, gene=None)
  >>> c2 = am.g_to_c(g, c1.ac)
  >>> c2
  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35del, gene=None)


There are `more examples in the documentation
<http://hgvs.readthedocs.org/en/stable/examples.html>`_.


Citing hgvs (the package)
@@@@@@@@@@@@@@@@@@@@@@@@@

| **hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update.**
| Wang M, Callenberg KM, Dalgleish R, Fedtsov A, Fox N, Freeman PJ, Jacobs KB, Kaleta P, McMurry AJ, Prlić A, Rajaraman V, Hart RK
| Human Mutation. 2018 `Pubmed <https://www.ncbi.nlm.nih.gov/pubmed/30129167>`__ | `Open Access PDF <https://doi.org/10.1002/humu.23615>`__

| **A Python Package for Parsing, Validating, Mapping, and Formatting Sequence Variants Using HGVS Nomenclature.**
| Hart RK, Rico R, Hare E, Garcia J, Westbrook J, Fusaro VA.
| *Bioinformatics*. 2014 Sep 30. `PubMed <http://www.ncbi.nlm.nih.gov/pubmed/25273102>`__ | `Open Access PDF <http://bioinformatics.oxfordjournals.org/content/31/2/268.full.pdf>`__


Contributing
@@@@@@@@@@@@

The hgvs package is intended to be a community project.  Please see
`Contributing
<http://hgvs.readthedocs.org/en/stable/contributing.html>`__ to get
started in submitting source code, tests, or documentation.  Thanks
for getting involved!


See Also
@@@@@@@@

Other packages that manipulate HGVS variants:

* `pyhgvs <https://github.com/counsyl/hgvs>`__
* `Mutalyzer <https://mutalyzer.nl/>`__


.. _docs: http://hgvs.readthedocs.org/
.. _Variation Nomenclature: http://varnomen.hgvs.org/

.. |getting_help| image:: https://img.shields.io/badge/!-help%20me-red.svg
   :target: https://hgvs.readthedocs.io/en/stable/getting_help.html

.. |rtd| image:: https://img.shields.io/badge/docs-readthedocs-green.svg
   :target: http://hgvs.readthedocs.io/

.. |changelog| image:: https://img.shields.io/badge/docs-changelog-green.svg
   :target: https://hgvs.readthedocs.io/en/stable/changelog/

.. |github_license| image:: https://img.shields.io/github/license/biocommons/hgvs.svg
   :alt: GitHub license
   :target: https://github.com/biocommons/hgvs/blob/main/LICENSE)

.. |group| image:: https://img.shields.io/badge/group-hgvs%20discuss-green.svg
   :alt: Mailing list
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   :target: https://gitter.im/biocommons/hgvs?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge


.. |github_tag| image:: https://img.shields.io/github/tag/biocommons/hgvs.svg
   :alt: GitHub tag
   :target: https://github.com/biocommons/hgvs

.. |pypi_rel| image:: https://img.shields.io/pypi/v/hgvs.svg
   :target: https://pypi.org/project/hgvs/


.. |status_rel| image:: https://img.shields.io/travis/biocommons/hgvs/main.svg
   :target: https://travis-ci.org/biocommons/hgvs?branch=main

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.. |issues| image:: https://img.shields.io/github/issues-raw/biocommons/hgvs.svg
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   :alt: GitHub Open Pull Requests
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   :alt: GitHub stars
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.. |github_forks| image:: https://img.shields.io/github/forks/biocommons/hgvs.svg?style=social&label=Forks
   :alt: GitHub forks
   :target: https://github.com/biocommons/hgvs/network

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   :target: https://github.com/biocommons/hgvs/graphs/contributors/

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   :target: https://travis-ci.org/reece/hgvs-integration-test

.. |binder| image:: https://mybinder.org/badge_logo.svg
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    :alt: nightly test of ability to pip install, import, and parse a variant
    :target: https://travis-ci.org/biocommons/hgvs-installation-test	    

            

Raw data

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    "description": "*hgvs* - manipulate biological sequence variants according to Human Genome Variation Society recommendations\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n**Important:** biocommons packages require Python 3.6+.\n`More\n<https://groups.google.com/forum/#!topic/hgvs-discuss/iLUzjzoD-28>`__\n\n\nThe *hgvs* package provides a Python library to parse, format,\nvalidate, normalize, and map sequence variants according to `Variation\nNomenclature`_ (aka Human Genome Variation Society) recommendations.\n\nSpecifically, the hgvs package focuses on the subset of the HGVS\nrecommendations that precisely describe sequence-level variation\nrelevant to the application of high-throughput sequencing to clinical\ndiagnostics.  The package does not attempt to cover the full scope of\nHGVS recommendations. Please refer to `issues\n<https://github.com/biocommons/hgvs/issues>`_ for limitations.\n\n\n+--------------------+--------------------------------------------------------------------+\n| **Information**    | | |rtd|   |changelog|  |getting_help|                              |\n|                    | | |github_license|  |binder|                                       |\n+--------------------+--------------------------------------------------------------------+\n| **Latest Release** | |github_tag|   |pypi_rel|   |hit|                                  |\n+--------------------+--------------------------------------------------------------------+\n| **Development**    | | |status_rel|  |coveralls|                                        |\n| (main branch)    | | | |issues|  |github_open_pr|   |github_contrib|                    |\n|                    | | |github_stars|  |github_forks|                                   |\n+--------------------+--------------------------------------------------------------------+\n\n\n\nFeatures\n@@@@@@@@\n\n* Parsing is based on formal grammar.\n* An easy-to-use object model that represents\n  most variant types (SNVs, indels, dups, inverstions, etc) and\n  concepts (intronic offsets, uncertain positions, intervals)\n* A variant normalizer that rewrites variants in canoncial forms and\n  substitutes reference sequences (if reference and transcript\n  sequences differ)\n* Formatters that generate HGVS strings from internal representations\n* Tools to map variants between genome, transcript, and protein sequences\n* Reliable handling of regions genome-transcript discrepancies\n* Pluggable data providers support alternative sources of transcript mapping\n  data\n* Extensive automated tests, including those for all variant types and\n  \"problematic\" transcripts\n* Easily installed using remote data sources.  Installation with local\n  data sources is straightforward and completely obviates network\n  access\n\n\nImportant Notes\n@@@@@@@@@@@@@@@\n\n* **You are encouraged to** `browse issues\n  <https://github.com/biocommons/hgvs/issues>`_.  All known issues are\n  listed there.  Please report any issues you find.\n* **Use a pip package specification to stay within minor releases.**\n  For example, ``hgvs>=1.5,<1.6``. `hgvs` uses `Semantic Versioning\n  <http://semver.org/>`__.\n\n\nExamples\n@@@@@@@@\n\nInstallation\n#############\n\nBy default, `hgvs` uses remote data sources, which makes installation\neasy.  \n\n::\n\n  $ mkvirtualenv hgvs-test\n  (hgvs-test)$ pip install --upgrade setuptools\n  (hgvs-test)$ pip install hgvs\n  (hgvs-test)$ python\n\nSee `Installation instructions\n<http://hgvs.readthedocs.org/en/stable/installation.html>`__ for\ndetails, including instructions for installing `Universal Transcript\nArchive (UTA) <https://github.com/biocommons/uta/>`__ and `SeqRepo\n<https://github.com/biocommons/biocommons.seqrepo/>`__ locally.\n\n\nConfiguration\n#############\n\n`hgvs` will use publicly available data sources unless directed\notherwise through environment variables, like so::\n\n  # N.B. These are examples. The correct values will depend on your installation\n  $ export UTA_DB_URL=postgresql://anonymous:anonymous@localhost:5432/uta/uta_20210129\n  $ export HGVS_SEQREPO_DIR=/usr/local/share/seqrepo/latest\n\nAlternatively, if you are unable to pass the postgresql password in the\nUTA_DB_URL environment variable (i.e., generating an auth token), you can set\nUTA_DB_URL to ``postgresql://<user>@<host>/<db>/<schema>`` and set PGPASSWORD. For example::\n\n  $ export UTA_DB_URL=postgresql://anonymous@localhost:5432/uta/uta_20210129 PGPASSWORD=anonymous\n\nSee the installation instructions for details.\n\n\nParsing and Formating\n#####################\n\n`hgvs` parses HGVS variants (as strings) into an object model, and can format\nobject models back into HGVS strings.\n\n.. code-block:: python\n\n  >>> import hgvs.parser\n\n  # start with these variants as strings\n  >>> hgvs_g = 'NC_000007.13:g.36561662C>T'\n  >>> hgvs_c = 'NM_001637.3:c.1582G>A'\n\n  # parse the genomic variant into a Python structure\n  >>> hp = hgvs.parser.Parser()\n  >>> var_g = hp.parse_hgvs_variant(hgvs_g)\n  >>> var_g\n  SequenceVariant(ac=NC_000007.13, type=g, posedit=36561662C>T, gene=None)\n\n  # SequenceVariants are composed of structured objects, e.g.,\n  >>> var_g.posedit.pos.start\n  SimplePosition(base=36561662, uncertain=False)\n\n  # format by stringification \n  >>> str(var_g)\n  'NC_000007.13:g.36561662C>T'\n\n\nProjecting (\"Mapping\") variants between aligned genome and transcript sequences\n###############################################################################\n\n`hgvs` provides tools to project variants between genome, transcript,\nand protein sequences.  Non-coding and intronic variants are\nsupported.  Alignment data come from the `Universal Transcript Archive\n(UTA) <https://github.com/biocommons/uta/>`__.\n\n.. code-block:: python\n\n  >>> import hgvs.dataproviders.uta\n  >>> import hgvs.assemblymapper\n\n  # initialize the mapper for GRCh37 with splign-based alignments\n  >>> hdp = hgvs.dataproviders.uta.connect()\n  >>> am = hgvs.assemblymapper.AssemblyMapper(hdp,\n  ...          assembly_name='GRCh37', alt_aln_method='splign',\n  ...          replace_reference=True)\n  \n  # identify transcripts that overlap this genomic variant\n  >>> transcripts = am.relevant_transcripts(var_g)\n  >>> sorted(transcripts)\n  ['NM_001177506.1', 'NM_001177507.1', 'NM_001637.3']\n\n  # map genomic variant to one of these transcripts\n  >>> var_c = am.g_to_c(var_g, 'NM_001637.3')\n  >>> var_c\n  SequenceVariant(ac=NM_001637.3, type=c, posedit=1582G>A, gene=None)\n  >>> str(var_c)\n  'NM_001637.3:c.1582G>A'\n\n  # CDS coordinates use BaseOffsetPosition to support intronic offsets\n  >>> var_c.posedit.pos.start\n  BaseOffsetPosition(base=1582, offset=0, datum=Datum.CDS_START, uncertain=False)\n\n\nTranslating coding variants to protein sequences\n################################################\n\nCoding variants may be translated to their protein consequences.  HGVS\nuses the same pairing of transcript and protein accessions as seen in\nNCBI and Ensembl.\n\n.. code-block:: python\n\n   # translate var_c to its protein consequence\n   # The object structure of protein variants is nearly identical to\n   # that of nucleic acid variants and is converted to a string form\n   # by stringification. Per HGVS recommendations, inferred consequences\n   # must have parentheses to indicate uncertainty.\n   >>> var_p = am.c_to_p(var_c)\n   >>> var_p\n   SequenceVariant(ac=NP_001628.1, type=p, posedit=(Gly528Arg), gene=None)\n   >>> str(var_p)\n   'NP_001628.1:p.(Gly528Arg)'\n\n   # setting uncertain to False removes the parentheses on the\n   # stringified form\n   >>> var_p.posedit.uncertain = False\n   >>> str(var_p)\n   'NP_001628.1:p.Gly528Arg'\n\n   # formatting can be customized, e.g., use 1 letter amino acids to\n   # format a specific variant\n   # (configuration may also be set globally)\n   >>> var_p.format(conf={\"p_3_letter\": False})\n   'NP_001628.1:p.G528R'\n\n\n\nNormalizing variants\n####################\n\nSome variants have multiple representations due to instrinsic\nbiological ambiguity (e.g., inserting a G in a poly-G run) or due to\nmisunderstanding HGVS recommendations.  Normalization rewrites certain\nveriants into a single representation.\n\n.. code-block:: python\n\n  # rewrite ins as dup (depends on sequence context)\n  >>> import hgvs.normalizer\n  >>> hn = hgvs.normalizer.Normalizer(hdp)\n  >>> hn.normalize(hp.parse_hgvs_variant('NM_001166478.1:c.35_36insT'))\n  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35dup, gene=None)\n\n  # during mapping, variants are normalized (by default)\n  >>> c1 = hp.parse_hgvs_variant('NM_001166478.1:c.31del')\n  >>> c1\n  SequenceVariant(ac=NM_001166478.1, type=c, posedit=31del, gene=None)\n  >>> c1n = hn.normalize(c1)\n  >>> c1n\n  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35del, gene=None)\n  >>> g = am.c_to_g(c1)\n  >>> g\n  SequenceVariant(ac=NC_000006.11, type=g, posedit=49917127del, gene=None)\n  >>> c2 = am.g_to_c(g, c1.ac)\n  >>> c2\n  SequenceVariant(ac=NM_001166478.1, type=c, posedit=35del, gene=None)\n\n\nThere are `more examples in the documentation\n<http://hgvs.readthedocs.org/en/stable/examples.html>`_.\n\n\nCiting hgvs (the package)\n@@@@@@@@@@@@@@@@@@@@@@@@@\n\n| **hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update.**\n| Wang M, Callenberg KM, Dalgleish R, Fedtsov A, Fox N, Freeman PJ, Jacobs KB, Kaleta P, McMurry AJ, Prli\u0107 A, Rajaraman V, Hart RK\n| Human Mutation. 2018 `Pubmed <https://www.ncbi.nlm.nih.gov/pubmed/30129167>`__ | `Open Access PDF <https://doi.org/10.1002/humu.23615>`__\n\n| **A Python Package for Parsing, Validating, Mapping, and Formatting Sequence Variants Using HGVS Nomenclature.**\n| Hart RK, Rico R, Hare E, Garcia J, Westbrook J, Fusaro VA.\n| *Bioinformatics*. 2014 Sep 30. `PubMed <http://www.ncbi.nlm.nih.gov/pubmed/25273102>`__ | `Open Access PDF <http://bioinformatics.oxfordjournals.org/content/31/2/268.full.pdf>`__\n\n\nContributing\n@@@@@@@@@@@@\n\nThe hgvs package is intended to be a community project.  Please see\n`Contributing\n<http://hgvs.readthedocs.org/en/stable/contributing.html>`__ to get\nstarted in submitting source code, tests, or documentation.  Thanks\nfor getting involved!\n\n\nSee Also\n@@@@@@@@\n\nOther packages that manipulate HGVS variants:\n\n* `pyhgvs <https://github.com/counsyl/hgvs>`__\n* `Mutalyzer <https://mutalyzer.nl/>`__\n\n\n.. _docs: http://hgvs.readthedocs.org/\n.. _Variation Nomenclature: http://varnomen.hgvs.org/\n\n.. |getting_help| image:: https://img.shields.io/badge/!-help%20me-red.svg\n   :target: https://hgvs.readthedocs.io/en/stable/getting_help.html\n\n.. |rtd| image:: https://img.shields.io/badge/docs-readthedocs-green.svg\n   :target: http://hgvs.readthedocs.io/\n\n.. |changelog| image:: https://img.shields.io/badge/docs-changelog-green.svg\n   :target: https://hgvs.readthedocs.io/en/stable/changelog/\n\n.. |github_license| image:: https://img.shields.io/github/license/biocommons/hgvs.svg\n   :alt: GitHub license\n   :target: https://github.com/biocommons/hgvs/blob/main/LICENSE)\n\n.. |group| image:: https://img.shields.io/badge/group-hgvs%20discuss-green.svg\n   :alt: Mailing list\n   :target: https://groups.google.com/forum/#!forum/hgvs-discuss\n\n.. |chat| image:: https://img.shields.io/badge/chat-gitter-green.svg\n   :alt: Join the chat at https://gitter.im/biocommons/hgvs\n   :target: https://gitter.im/biocommons/hgvs?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\n\n\n.. |github_tag| image:: https://img.shields.io/github/tag/biocommons/hgvs.svg\n   :alt: GitHub tag\n   :target: https://github.com/biocommons/hgvs\n\n.. |pypi_rel| image:: https://img.shields.io/pypi/v/hgvs.svg\n   :target: https://pypi.org/project/hgvs/\n\n\n.. |status_rel| image:: https://img.shields.io/travis/biocommons/hgvs/main.svg\n   :target: https://travis-ci.org/biocommons/hgvs?branch=main\n\n.. |coveralls| image:: https://img.shields.io/coveralls/github/biocommons/hgvs.svg\n   :target: https://coveralls.io/github/biocommons/hgvs\n\n.. |issues| image:: https://img.shields.io/github/issues-raw/biocommons/hgvs.svg\n   :alt: issues\n   :target: https://github.com/biocommons/hgvs/issues\n\n.. |github_open_pr| image:: https://img.shields.io/github/issues-pr/biocommons/hgvs.svg\n   :alt: GitHub Open Pull Requests\n   :target: https://github.com/biocommons/hgvs/pull/\n\n.. |github_stars| image:: https://img.shields.io/github/stars/biocommons/hgvs.svg?style=social&label=Stars\n   :alt: GitHub stars\n   :target: https://github.com/biocommons/hgvs/stargazers\n\n.. |github_forks| image:: https://img.shields.io/github/forks/biocommons/hgvs.svg?style=social&label=Forks\n   :alt: GitHub forks\n   :target: https://github.com/biocommons/hgvs/network\n\n.. |github_contrib| image:: https://img.shields.io/github/contributors/biocommons/hgvs.svg\n   :alt: GitHub license\n   :target: https://github.com/biocommons/hgvs/graphs/contributors/\n\n.. |install_status| image:: https://travis-ci.org/reece/hgvs-integration-test.png?branch=main\n   :target: https://travis-ci.org/reece/hgvs-integration-test\n\n.. |binder| image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/biocommons/hgvs/main?filepath=examples\n\n.. |hit| image:: https://travis-ci.org/biocommons/hgvs-installation-test.svg?branch=main\n    :alt: nightly test of ability to pip install, import, and parse a variant\n    :target: https://travis-ci.org/biocommons/hgvs-installation-test\t    \n",
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