Metadata-Version: 2.4
Name: CNSistent
Version: 0.7.0
Summary: Tools for imputation, segmentation, analysis, and plotting of Copy Number Segments (CNS).
Author-email: Adam Streck <adam.streck@gmail.com>
Maintainer-email: Adam Streck <adam.streck@gmail.com>
License: MIT
License-File: LICENSE.txt
Keywords: CNS,bioinformatics,copy number segments,genomics
Requires-Python: >=3.9
Requires-Dist: matplotlib
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: pandas>=2.2
Requires-Dist: scikit-learn
Description-Content-Type: text/markdown

![CNSistent Logo](https://cnsistent.readthedocs.io/en/latest/_images/Logo.png)

[![PyPI version](https://badge.fury.io/py/CNSistent.svg)](https://badge.fury.io/py/CNSistent)
[![Documentation Status](https://readthedocs.org/projects/cnsistent/badge/?version=latest)](https://cnsistent.readthedocs.io/en/latest/?badge=latest)

CNSistent is a Python tool for processing and analyzing copy number data. It is designed to work with data from a variety of sources. The tool is designed to be easy to use, and to provide a comprehensive set of analyses and visualizations.

## [**READ THE DOCS HERE**](https://cnsistent.readthedocs.io/en/latest)

CNSistent can be used as a Python package, or downloaded together with the respective data (PCAWG, TRACERx, TCGA, genomic locations):

## Installation links


 1. [Full Bitbucket repository with ~1GB of data.](https://bitbucket.org/schwarzlab/cnsistent/src/main/REPOSITORY.md)
 2. [PIP package only.](https://pypi.org/project/cnsistent/)


### [LICENSE](https://bitbucket.org/schwarzlab/cnsistent/src/main/LICENSE.txt)