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maxibor committed Apr 27, 2020
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2 changes: 1 addition & 1 deletion README.md
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# ![pydamage logo](docs/img/logo.png)
# [![pydamage logo](docs/img/logo.png)](https://github.com/maxibor/pydamage)

[![pydamage CI](https://github.com/maxibor/pydamage/workflows/pydamage_ci/badge.svg)](https://github.com/maxibor/pydamage/actions) [![Documentation Status](https://readthedocs.org/projects/pydamage/badge/?version=latest)](https://pydamage.readthedocs.io/en/latest/?badge=latest)

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5 changes: 3 additions & 2 deletions docs/source/introduction.md
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# Introduction
![pydamage logo](../img/logo.png)

[![pydamage CI](https://github.com/maxibor/pydamage/workflows/pydamage_ci/badge.svg)](https://github.com/maxibor/pydamage/actions) [![Documentation Status](https://readthedocs.org/projects/pydamage/badge/?version=latest)](https://pydamage.readthedocs.io/en/latest/?badge=latest)
[![](../img/logo.png)](https://github.com/maxibor/pydamage)

[![](https://github.com/maxibor/pydamage/workflows/pydamage_ci/badge.svg)](https://github.com/maxibor/pydamage/actions) [![](https://readthedocs.org/projects/pydamage/badge/?version=latest)](https://pydamage.readthedocs.io/en/latest/?badge=latest)

Pydamage, is a Python software to automate the process of contig damage identification and estimation.
It uses a process akin to a likelihood ratio test to attempt to discriminate between truly ancient, and modern contigs originating from sample contamination.
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