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ODGI: understanding pangenome graphs

View ORCID ProfileAndrea Guarracino, View ORCID ProfileSimon Heumos, View ORCID ProfileSven Nahnsen, View ORCID ProfilePjotr Prins, View ORCID ProfileErik Garrison
doi: https://doi.org/10.1101/2021.11.10.467921
Andrea Guarracino
1Genomics Research Centre, Human Technopole, Milan, Italy
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Simon Heumos
2Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany, 72076
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Sven Nahnsen
2Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany, 72076
3Biomedical Data Science, Dept. of Computer Science, University of Tübingen, Tübingen, Germany, 72076
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Pjotr Prins
4University of Tennessee Health Science Center, Memphis, TN, USA
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Erik Garrison
4University of Tennessee Health Science Center, Memphis, TN, USA
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  • For correspondence: erik.garrison@gmail.com
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  • https://github.com/pangenome/odgi-paper

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Posted November 11, 2021.
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ODGI: understanding pangenome graphs
Andrea Guarracino, Simon Heumos, Sven Nahnsen, Pjotr Prins, Erik Garrison
bioRxiv 2021.11.10.467921; doi: https://doi.org/10.1101/2021.11.10.467921
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ODGI: understanding pangenome graphs
Andrea Guarracino, Simon Heumos, Sven Nahnsen, Pjotr Prins, Erik Garrison
bioRxiv 2021.11.10.467921; doi: https://doi.org/10.1101/2021.11.10.467921

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