Metadata-Version: 2.1
Name: trisicell
Version: 0.0.3
Summary: Trisicell - Scalable tumor phylogeny reconstruction and validation from single-cell data
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| |PyPI| |PyPIDownloads| |Contributions Welcome| |Build Status| |Docs Status| |Pre-commit| |Code Style|
        
        
        Trisicell - Scalable tumor phylogeny reconstruction and validation from single-cell data
        ========================================================================================
        
        .. image:: https://raw.githubusercontent.com/faridrashidi/trisicell/master/docs/source/_static/images/overview.png
           :alt: overview
           :align: center
        
        
        Trisicell (**Tri**\ ple-toolkit for **si**\ ngle-\ **cell** tumor phylogenetics), pronounced as "tricycle",
        is a new computational toolkit for scalable tumor phylogeny reconstruction and evaluation from scRNAseq
        (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.
        
        
        Manuscript
        ----------
        Please see our `preprint`_ on **bioRxiv** to learn more.
        
        
        Support
        -------
        Feel free to submit an `issue <https://github.com/faridrashidi/trisicell/issues/new/choose>`_
        or send us an `email <mailto:farid.rsh@gmail.com>`_.
        Your help to improve Trisicell is highly appreciated.
        
        Trisicell was developed in collaboration between the `Cancer Data Science Laboratory (CDSL) <https://ccr.cancer.gov/cancer-data-science-laboratory>`_ and the `Laboratory of Cancer Biology and Genetics (LCBG) <https://ccr.cancer.gov/laboratory-of-cancer-biology-and-genetics>`_ at the `National Cancer Institute (NCI) <https://www.cancer.gov>`_.
        
        
        .. |DOI| image:: https://img.shields.io/badge/DOI-10.1101/2021.03.26.437185-orange?style=flat-square
            :target: https://doi.org/10.1101/2021.03.26.437185
            :alt: DOI
        
        .. |PyPI| image:: https://img.shields.io/pypi/v/trisicell?style=flat-square&color=blue
            :target: https://pypi.org/project/trisicell
            :alt: PyPI
        
        .. |PyPIDownloads| image:: https://img.shields.io/badge/dynamic/json?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: 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=0059b3&style=flat-square
            :target: https://github.com/faridrashidi/trisicell/blob/master/CONTRIBUTING.rst
            :alt: Contributions Welcome
        
        .. |Build Status| image:: https://img.shields.io/github/workflow/status/faridrashidi/trisicell/CI/master?label=CI&logo=github&style=flat-square
            :target: https://github.com/faridrashidi/trisicell/actions?query=workflow%3ACI
            :alt: Build Status
        
        .. |Docs Status| image:: https://readthedocs.org/projects/trisicell/badge/?version=latest&style=flat-square
            :target: https://trisicell.readthedocs.io
            :alt: Docs Status
        
        .. |Pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white&style=flat-square
            :target: https://github.com/pre-commit/pre-commit
            :alt: Pre-commit
        
        .. |Code Style| image:: https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square
            :target: https://github.com/python/black
            :alt: Code Style
        
        .. _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: 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
