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Update paper reference after publication
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README.md

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[![PyPI version](https://badge.fury.io/py/wormpose.svg)](https://pypi.python.org/pypi/wormpose/)
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[![Build Status](https://travis-ci.com/iteal/wormpose.svg?branch=main)](https://travis-ci.com/iteal/wormpose)
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[![PyPI pyversions](https://img.shields.io/pypi/pyversions/wormpose.svg)](https://pypi.python.org/pypi/wormpose/)
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[![DOI](https://zenodo.org/badge/246706178.svg)](https://zenodo.org/badge/latestdoi/246706178)
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Check the [Documentation website](https://iteal.github.io/wormpose/index.html) for detailed instructions.
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## Read the paper
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*WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans*
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Laetitia Hebert, Tosif Ahamed, Antonio C. Costa, Liam O’Shaugnessy, Greg J. Stephens
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bioRxiv 2020.07.09.193755; doi: https://doi.org/10.1101/2020.07.09.193755
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[WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008914)
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Hebert L, Ahamed T, Costa AC, O’Shaughnessy L, Stephens GJ (2021) WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans. PLOS Computational Biology 17(4): e1008914. https://doi.org/10.1371/journal.pcbi.1008914
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## Manuscript data
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Manuscript data is available here: https://wormpose.unit.oist.jp.

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