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Theory of local k-mer selection with applications to long-read alignment

View ORCID ProfileJim Shaw, View ORCID ProfileYun William Yu
doi: https://doi.org/10.1101/2021.05.22.445262
Jim Shaw
1Department of Mathematics, University of Toronto, Toronto, M5S 2E4, Canada
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  • For correspondence: jshaw@math.toronto.edu
Yun William Yu
1Department of Mathematics, University of Toronto, Toronto, M5S 2E4, Canada
2Computer and Mathematical Sciences, University of Toronto at Scarborough, Scarborough, M1C 1A4, Canada
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  • https://github.com/bluenote-1577/local-kmer-selection-results

  • https://github.com/bluenote-1577/os-minimap2

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Posted May 23, 2021.
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Theory of local k-mer selection with applications to long-read alignment
Jim Shaw, Yun William Yu
bioRxiv 2021.05.22.445262; doi: https://doi.org/10.1101/2021.05.22.445262
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Theory of local k-mer selection with applications to long-read alignment
Jim Shaw, Yun William Yu
bioRxiv 2021.05.22.445262; doi: https://doi.org/10.1101/2021.05.22.445262

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