Metadata-Version: 2.1
Name: trisicell
Version: 0.2.3
Summary: UNKNOWN
Home-page: https://github.com/faridrashidi/trisicell
Author: Farid Rashidi
Author-email: farid.rsh@gmail.com
Maintainer: Farid Rashidi
Maintainer-email: farid.rsh@gmail.com
License: BSD
Download-URL: https://github.com/faridrashidi/trisicell
Project-URL: Documentation, https://trisicell.readthedocs.io/en/latest
Project-URL: Source Code, https://github.com/faridrashidi/trisicell
Description: |DOI| |Stars| |Compatible| |PyPI| |PyPiDownloads| |Contributions Welcome| |Build Status|
        |Docs Status| |Pre-commit| |Codecov| |License| |Code Style|
        
        
        Trisicell - |subst|
        ===================
        
        
        .. image:: https://raw.githubusercontent.com/faridrashidi/trisicell/master/docs/source/_static/images/overview.png
           :target: https://github.com/faridrashidi/trisicell
           :alt: overview
           :align: center
        
        
        Trisicell (**Tri**\ ple-toolkit for **si**\ ngle-\ **cell** intratumor
        heterogeneity inference), pronounced as "tricycle", is a new computational
        toolkit for scalable intratumor heterogeneity inference and evaluation from
        single-cell RNA, as well as single-cell genome or exome, sequencing data.
        Trisicell utilizes expressed SNVs and Indels to infer evolutionary
        relationships between genomic alterations and the cells that harbor them.
        
        
        Support
        -------
        Feel free to submit an `issue <https://github.com/faridrashidi/trisicell/issues/new/choose>`_.
        Your help to improve Trisicell is highly appreciated.
        
        Trisicell was developed in collaboration between the `Cancer Data Science Laboratory (CDSL) <https://ccr.cancer.gov/staff-directory/s-cenk-sahinalp>`_ and the `Laboratory of Cancer Biology and Genetics (LCBG) <https://ccr.cancer.gov/staff-directory/glenn-merlino>`_ at the `National Cancer Institute (NCI) <https://www.cancer.gov>`_.
        
        
        .. |subst| replace:: Scalable intratumor heterogeneity inference and validation
                            from single-cell data
        
        .. |DOI| image:: https://img.shields.io/badge/DOI-10.1101/2021.03.26.437185-orange?logo=gitbook&logoColor=FFFFFF&style=flat-square
            :target: https://doi.org/10.1101/2021.03.26.437185
            :alt: DOI
        
        .. |PyPI| image:: https://img.shields.io/pypi/v/trisicell?logo=PyPi&logoColor=FFFFFF&style=flat-square&color=blue
            :target: https://pypi.org/project/trisicell
            :alt: PyPI
        
        .. |PyPyDownloads| image:: https://img.shields.io/badge/dynamic/json?logo=PyPi&logoColor=FFFFFF&style=flat-square&color=blue&label=downloads&query=%24.total_downloads&url=https%3A%2F%2Fapi.pepy.tech%2Fapi%2Fprojects%2Ftrisicell
            :target: https://pepy.tech/project/trisicell
            :alt: PyPyDownloads
        
        .. |PyPiDownloads| image:: https://img.shields.io/pypi/dm/trisicell.svg?logo=docusign&logoColor=FFFFFF&style=flat-square&color=blue
            :target: https://pepy.tech/project/trisicell
            :alt: PyPiDownloads
        
        .. |Stars| image:: https://img.shields.io/github/stars/faridrashidi/trisicell?logo=GitHub&color=yellow&style=flat-square
            :target: https://github.com/faridrashidi/trisicell
            :alt: Stars
        
        .. |Contributions Welcome| image:: https://img.shields.io/static/v1.svg?label=contributions&message=welcome&color=blue&logo=handshake&logoColor=FFFFFF&style=flat-square
            :target: https://github.com/faridrashidi/trisicell/blob/master/CODE_OF_CONDUCT.rst
            :alt: Contributions Welcome
        
        .. |Compatible| image:: https://img.shields.io/pypi/pyversions/trisicell.svg?logo=python&logoColor=FFFFFF&style=flat-square&color=blue
            :target: https://pypi.org/project/trisicell
            :alt: Compatible
        
        .. |Build Status| image:: https://img.shields.io/github/actions/workflow/status/faridrashidi/trisicell/ci.yml?branch=master&label=build&logo=githubactions&logoColor=FFFFFF&style=flat-square
            :target: https://github.com/faridrashidi/trisicell/actions?query=workflow%3ACI
            :alt: Build Status
        
        .. |Docs Status| image:: https://img.shields.io/readthedocs/trisicell/latest?logo=readthedocs&logoColor=FFFFFF&style=flat-square
            :target: https://trisicell.readthedocs.io
            :alt: Docs Status
        
        .. |Pre-commit| image:: https://img.shields.io/badge/pre--commit.ci-passing-brightgreen?logo=pre-commit&logoColor=white&style=flat-square
            :target: https://results.pre-commit.ci/latest/github/faridrashidi/trisicell/master
            :alt: Pre-commit
        
        .. |Code Style| image:: https://img.shields.io/badge/code%20style-black-000000.svg?logo=visualstudiocode&logoColor=FFFFFF&style=flat-square
            :target: https://github.com/python/black
            :alt: Code Style
        
        .. |Code Score| image:: https://img.shields.io/lgtm/grade/python/github/faridrashidi/trisicell.svg?logo=lgtm&logoWidth=18&style=flat-square
            :target: https://lgtm.com/projects/g/faridrashidi/trisicell/context:python
            :alt: Code Score
        
        .. |Codecov| image:: https://img.shields.io/codecov/c/github/faridrashidi/trisicell?logo=codecov&logoColor=white&style=flat-square
            :target: https://codecov.io/gh/faridrashidi/trisicell
            :alt: Codecov
        
        .. |License| image:: https://img.shields.io/pypi/l/trisicell.svg?logo=creativecommons&logoColor=FFFFFF&style=flat-square&color=blueviolet
            :target: https://github.com/faridrashidi/trisicell/blob/master/LICENSE
            :alt: License
        
        
        .. _preprint: https://doi.org/10.1101/2021.03.26.437185
        
Keywords: tumor phylogeny,single cell,scalable,rna-seq,dna-seq
Platform: Linux
Platform: MacOSX
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Framework :: Jupyter
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.6
Description-Content-Type: text/x-rst; charset=UTF-8
Provides-Extra: dev
Provides-Extra: docs
