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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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Article Information

doi 
https://doi.org/10.1101/2021.05.22.445262
History 
  • May 23, 2021.
Copyright 
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 4.0 International license.

Author Information

  1. Jim Shaw1,* and
  2. Yun William Yu1,2
  1. 1Department of Mathematics, University of Toronto, Toronto, M5S 2E4, Canada
  2. 2Computer and Mathematical Sciences, University of Toronto at Scarborough, Scarborough, M1C 1A4, Canada
  1. ↵*To whom correspondence should be addressed, email: jshaw{at}math.toronto.edu
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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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