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Inference of clonal Copy Number Variation in single cells

Project description

Inference of Clonal Copy Number Variation in Single Cells

XClone is an algorithm to infer allele- and haplotype-specific copy numbers in individual cells from low-coverage and sparse single-cell RNA sequencing data (e.g., those generated by 10x Genomics, Smart-seq, etc.). The full description of the algorithm and its application on published cancer datasets are described in

[full-text](link here)

The demo of XClone and results on the 3 processed cancer datasets are available at [xclone-data](https://github.com/Rongtingting/xclone-data)

Please frequently read Development and keep software up to date since XClone is being updated and improved frequently at this stage.

./docs/image/XClone_overview.png

Installation

Preprocessing via xcltk

xcltk is a toolkit for XClone preprocessing. xcltk is avaliable through pypi. To install, type the following command line, and add -U for upgrading:

pip install -U xcltk

Alternatively, you can install from this GitHub repository for latest (often development) version by following command line:

pip install -U git+https://github.com/hxj5/xcltk

Main Module

XClone requires Python 3.7 or later. We recommend to use Anaconda environment for version control and to avoid potential conflicts:

conda create -n xclone python=3.7
conda activate xclone

XClone package can be installed directly from GitHub repository (for development version):

pip install git+https://github.com/single-cell-genetics/XClone

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