changeo


Namechangeo JSON
Version 1.3.0 PyPI version JSON
download
home_pagehttp://changeo.readthedocs.io
SummaryA bioinformatics toolkit for processing high-throughput lymphocyte receptor sequencing data.
upload_time2022-12-12 00:08:27
maintainer
docs_urlNone
authorNamita Gupta, Jason Anthony Vander Heiden
requires_python
licenseGNU Affero General Public License 3 (AGPL-3)
keywords bioinformatics sequencing immunology adaptive immunity immunoglobulin airr-seq rep-seq b cell repertoire analysis adaptive immune receptor repertoires
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. image:: https://img.shields.io/pypi/dm/changeo
    :target: https://pypi.org/project/changeo
.. image:: https://img.shields.io/static/v1?label=AIRR-C%20sw-tools%20v1&message=compliant&color=008AFF&labelColor=000000&style=plastic
    :target: https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html

Change-O - Repertoire clonal assignment toolkit
================================================================================

Change-O is a collection of tools for processing the output of V(D)J alignment
tools, assigning clonal clusters to immunoglobulin (Ig) sequences, and
reconstructing germline sequences.
 
Dramatic improvements in high-throughput sequencing technologies now enable 
large-scale characterization of Ig repertoires, defined as the collection of
trans-membrane antigen-receptor proteins located on the surface of B cells and
T cells. Change-O is a suite of utilities to facilitate advanced analysis of
Ig and TCR sequences following germline segment assignment. Change-O
handles output from IMGT/HighV-QUEST and IgBLAST, and provides a wide variety of
clustering methods for assigning clonal groups to Ig sequences. Record sorting, 
grouping, and various database manipulation operations are also included.

            

Raw data

            {
    "_id": null,
    "home_page": "http://changeo.readthedocs.io",
    "name": "changeo",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "bioinformatics,sequencing,immunology,adaptive immunity,immunoglobulin,AIRR-seq,Rep-Seq,B cell repertoire analysis,adaptive immune receptor repertoires",
    "author": "Namita Gupta, Jason Anthony Vander Heiden",
    "author_email": "immcantation@googlegroups.com",
    "download_url": "https://files.pythonhosted.org/packages/68/a5/e7afcd61fe3a556c72842e0b8b1a446ae8c146bc1f0d586e8d2874e0e9d3/changeo-1.3.0.tar.gz",
    "platform": null,
    "description": ".. image:: https://img.shields.io/pypi/dm/changeo\n    :target: https://pypi.org/project/changeo\n.. image:: https://img.shields.io/static/v1?label=AIRR-C%20sw-tools%20v1&message=compliant&color=008AFF&labelColor=000000&style=plastic\n    :target: https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html\n\nChange-O - Repertoire clonal assignment toolkit\n================================================================================\n\nChange-O is a collection of tools for processing the output of V(D)J alignment\ntools, assigning clonal clusters to immunoglobulin (Ig) sequences, and\nreconstructing germline sequences.\n \nDramatic improvements in high-throughput sequencing technologies now enable \nlarge-scale characterization of Ig repertoires, defined as the collection of\ntrans-membrane antigen-receptor proteins located on the surface of B cells and\nT cells. Change-O is a suite of utilities to facilitate advanced analysis of\nIg and TCR sequences following germline segment assignment. Change-O\nhandles output from IMGT/HighV-QUEST and IgBLAST, and provides a wide variety of\nclustering methods for assigning clonal groups to Ig sequences. Record sorting, \ngrouping, and various database manipulation operations are also included.\n",
    "bugtrack_url": null,
    "license": "GNU Affero General Public License 3 (AGPL-3)",
    "summary": "A bioinformatics toolkit for processing high-throughput lymphocyte receptor sequencing data.",
    "version": "1.3.0",
    "split_keywords": [
        "bioinformatics",
        "sequencing",
        "immunology",
        "adaptive immunity",
        "immunoglobulin",
        "airr-seq",
        "rep-seq",
        "b cell repertoire analysis",
        "adaptive immune receptor repertoires"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "8d2d964d79803f3dcbbc506a9d0ccca6",
                "sha256": "febec2503086b4d76a177d60f9bcb742645d24417750e976409790e9b68288ad"
            },
            "downloads": -1,
            "filename": "changeo-1.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "8d2d964d79803f3dcbbc506a9d0ccca6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 151532,
            "upload_time": "2022-12-12T00:08:27",
            "upload_time_iso_8601": "2022-12-12T00:08:27.744583Z",
            "url": "https://files.pythonhosted.org/packages/68/a5/e7afcd61fe3a556c72842e0b8b1a446ae8c146bc1f0d586e8d2874e0e9d3/changeo-1.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-12 00:08:27",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "changeo"
}
        
Elapsed time: 0.01654s