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A fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next generation sequence submissions
Kenneth S. Katz, Oleg Shutov, Richard Lapoint, Michael Kimelman, J. Rodney Brister, Christopher O’Sullivan
doi: https://doi.org/10.1101/2021.02.16.431451
Kenneth S. Katz
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
Oleg Shutov
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
Richard Lapoint
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
Michael Kimelman
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
J. Rodney Brister
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
Christopher O’Sullivan
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
Posted April 26, 2021.
A fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next generation sequence submissions
Kenneth S. Katz, Oleg Shutov, Richard Lapoint, Michael Kimelman, J. Rodney Brister, Christopher O’Sullivan
bioRxiv 2021.02.16.431451; doi: https://doi.org/10.1101/2021.02.16.431451
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