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COVFlow: virus phylodynamics analyses from selected SARS-CoV-2 sequences

View ORCID ProfileGonché Danesh, Corentin Boennec, Laura Verdurme, Mathilde Roussel, Sabine Trombert-Paolantoni, Benoit Visseaux, Stéphanie Haim-Boukobza, View ORCID ProfileSamuel Alizon
doi: https://doi.org/10.1101/2022.06.17.496544
Gonché Danesh
1MIVEGEC, CNRS, IRD, Université de Montpellier
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  • ORCID record for Gonché Danesh
  • For correspondence: gonche.danesh@ird.fr
Corentin Boennec
1MIVEGEC, CNRS, IRD, Université de Montpellier
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Laura Verdurme
2Laboratoire CERBA, Saint Ouen L’Aumône, France
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Mathilde Roussel
2Laboratoire CERBA, Saint Ouen L’Aumône, France
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Sabine Trombert-Paolantoni
2Laboratoire CERBA, Saint Ouen L’Aumône, France
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Benoit Visseaux
2Laboratoire CERBA, Saint Ouen L’Aumône, France
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Stéphanie Haim-Boukobza
2Laboratoire CERBA, Saint Ouen L’Aumône, France
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Samuel Alizon
1MIVEGEC, CNRS, IRD, Université de Montpellier
3Center for Interdisciplinary Research in Biology (CIRB), College de France, CNRS, INSERM, Université PSL, Paris, France
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  • ORCID record for Samuel Alizon
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Abstract

Phylodynamic analyses generate important and timely data to optimise public health response to SARS-CoV-2 outbreaks and epidemics. However, their implementation is hampered by the massive amount of sequence data and the difficulty to parameterise dedicated software packages. We introduce the COVFlow pipeline, accessible at https://gitlab.in2p3.fr/ete/CoV-flow, which allows a user to select sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID) database according to user-specified criteria, to perform basic phylogenetic analyses, and to produce an XML file to be run in the Beast2 software package. We illustrate the potential of this tool by studying two sets of sequences from the Delta variant in two French regions. This pipeline can facilitate the use of virus sequence data at the local level, for instance, to track the dynamics of a particular lineage or variant in a region of interest.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 10, 2023.
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COVFlow: virus phylodynamics analyses from selected SARS-CoV-2 sequences
Gonché Danesh, Corentin Boennec, Laura Verdurme, Mathilde Roussel, Sabine Trombert-Paolantoni, Benoit Visseaux, Stéphanie Haim-Boukobza, Samuel Alizon
bioRxiv 2022.06.17.496544; doi: https://doi.org/10.1101/2022.06.17.496544
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COVFlow: virus phylodynamics analyses from selected SARS-CoV-2 sequences
Gonché Danesh, Corentin Boennec, Laura Verdurme, Mathilde Roussel, Sabine Trombert-Paolantoni, Benoit Visseaux, Stéphanie Haim-Boukobza, Samuel Alizon
bioRxiv 2022.06.17.496544; doi: https://doi.org/10.1101/2022.06.17.496544

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