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Add preprint DOI
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CITATION.cff

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title: VIPERA
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message: >-
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If you use this software, please cite it using the
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metadata from this file.
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metadata in this file and the associated publication.
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type: software
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authors:
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- given-names: Miguel
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University of Valencia - CSIC), FISABIO Joint Research
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Unit “Infection and Public Health”, Paterna, Spain
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identifiers:
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- type: doi
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value: 10.1101/2023.10.24.561010
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description: Preprint
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- type: doi
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value: 10.20350/digitalCSIC/15648
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description: >-
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Case study data: SARS-CoV-2 mapped reads and consensus
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genomes of an intra-patient serially sampled infection
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repository-code: 'https://github.com/PathoGenOmics-Lab/VIPERA'
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url: 'https://doi.org/10.1101/2023.10.24.561010'
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abstract: >-
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Viral mutations within patients nurture the adaptive
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potential of SARS-CoV-2 during chronic infections, which

README.md

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</p>
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[![PGO badge](https://img.shields.io/badge/PathoGenOmics-Lab-yellow.svg)](https://pathogenomics.github.io/)
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[![DOI:10.1101/2023.10.24.561010](https://img.shields.io/badge/DOI-10.1101/2023.10.24.561010-blue.svg)](https://doi.org/10.1101/2023.10.24.561010)
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[![Release](https://img.shields.io/github/v/release/PathoGenOmics-Lab/VIPERA)](https://github.com/PathoGenOmics-Lab/VIPERA/releases)
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[![Snakemake](https://img.shields.io/badge/snakemake-≥7.19-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io)
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![Install workflow](https://github.com/PathoGenOmics-Lab/VIPERA/actions/workflows/install.yml/badge.svg)
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snakemake --use-conda -c4 # runs VIPERA on 4 cores (reccomended)
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```
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Alternatively, you can use a simple script that downloads the data from our study
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Alternatively, you can use a simple script that downloads the [data](https://doi.org/10.20350/digitalCSIC/15648) from [our study](https://doi.org/10.1101/2023.10.24.561010)
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and performs the analysis in one step:
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```shell
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## Citation
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Manuscript in progress.
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Álvarez-Herrera & M., Sevilla, J., Ruiz-Rodriguez, P., Vergara, A., Vila, J., Cano-Jiménez, P., González-Candelas, F., Comas, I., & Coscolla, M. (2023). VIPERA: Viral Intra-Patient Evolution Reporting and Analysis. bioRxiv. https://doi.org/10.1101/2023.10.24.561010
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```bibtex
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@misc{AHS_VIPERA_2023,
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title = {{VIPERA}: {Viral} {Intra}-{Patient} {Evolution} {Reporting} and {Analysis}},
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shorttitle = {{VIPERA}},
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author = {Álvarez-Herrera$^*$, Miguel and Sevilla$^*$, Jordi and Ruiz-Rodriguez, Paula and Vergara, Andrea and Vila, Jordi and Cano-Jiménez, Pablo and González-Candelas, Fernando and Comas, Iñaki and Coscolla, Mireia},
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url = {https://www.biorxiv.org/content/10.1101/2023.10.24.561010},
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doi = {10.1101/2023.10.24.561010},
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language = {en},
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urldate = {2023-10-25},
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publisher = {bioRxiv},
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note = {$^*$ indicates equal contribution}
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}
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```

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