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SexFindR: A computational workflow to identify young and old sex chromosomes

View ORCID ProfilePhil Grayson, Alison Wright, View ORCID ProfileColin J. Garroway, View ORCID ProfileMargaret F. Docker
doi: https://doi.org/10.1101/2022.02.21.481346
Phil Grayson
1University of Manitoba, Department of Biological Sciences, Winnipeg, MB, Canada
2Harvard Medical School, Department of Biomedical Informatics, Boston, MA, USA
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  • For correspondence: phil.d.grayson@gmail.com margaret.docker@umanitoba.ca
Alison Wright
3Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
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Colin J. Garroway
1University of Manitoba, Department of Biological Sciences, Winnipeg, MB, Canada
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Margaret F. Docker
1University of Manitoba, Department of Biological Sciences, Winnipeg, MB, Canada
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  • ORCID record for Margaret F. Docker
  • For correspondence: phil.d.grayson@gmail.com margaret.docker@umanitoba.ca
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  • https://github.com/phil-grayson/SexFindR

  • https://sexfindr.readthedocs.io

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Posted February 22, 2022.
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SexFindR: A computational workflow to identify young and old sex chromosomes
Phil Grayson, Alison Wright, Colin J. Garroway, Margaret F. Docker
bioRxiv 2022.02.21.481346; doi: https://doi.org/10.1101/2022.02.21.481346
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SexFindR: A computational workflow to identify young and old sex chromosomes
Phil Grayson, Alison Wright, Colin J. Garroway, Margaret F. Docker
bioRxiv 2022.02.21.481346; doi: https://doi.org/10.1101/2022.02.21.481346

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