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ncrna committed Sep 20, 2021
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[![Build Status](https://app.travis-ci.com/ncrna/PathogenTrack.svg?branch=master)](https://app.travis-ci.com/ncrna/PathogenTrack)
[![PYPI](https://img.shields.io/pypi/v/pathogentrack.svg)](https://pypi.org/project/pathogentrack/)
[![The MIT License](https://img.shields.io/badge/license-MIT-green.svg)](https://github.com/ncrna/PathogenTrack/blob/master/LICENSE.txt)
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# PathogenTrack
PathogenTrack is an unsupervised computational software that uses `unmapped single-cell RNAseq reads` to characterize `intracellular pathogens` at the single-cell level. It is a python-based script that can be used to identify and quantify intracellular pathogenic `viruses` and `bacteria` reads at the single-cell level.
PathogenTrack has been tested on various scRNA-seq datasets derived from simulated and real datasets and performed robustly. The detailes are described in our paper *`Decoding Intracellular Pathogens of scRNA-seq experiments with PathogenTrack and SCKIT`*.
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