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Sapling: Accelerating Suffix Array Queries with Learned Data Models

View ORCID ProfileMelanie Kirsche, Arun Das, View ORCID ProfileMichael C. Schatz
doi: https://doi.org/10.1101/2020.01.29.925768
Melanie Kirsche
1Department of Computer Science, Johns Hopkins University, Baltimore, MD
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  • For correspondence: mkirsche@jhu.edu
Arun Das
1Department of Computer Science, Johns Hopkins University, Baltimore, MD
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Michael C. Schatz
1Department of Computer Science, Johns Hopkins University, Baltimore, MD
2Department of Biology, Johns Hopkins University, Baltimore, MD
3Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
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Article Information

doi 
https://doi.org/10.1101/2020.01.29.925768
History 
  • January 30, 2020.
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. Melanie Kirsche1,*,
  2. Arun Das1 and
  3. Michael C. Schatz1,2,3
  1. 1Department of Computer Science, Johns Hopkins University, Baltimore, MD
  2. 2Department of Biology, Johns Hopkins University, Baltimore, MD
  3. 3Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
  1. ↵* Corresponding author; email: mkirsche{at}jhu.edu
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Posted January 30, 2020.
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Sapling: Accelerating Suffix Array Queries with Learned Data Models
Melanie Kirsche, Arun Das, Michael C. Schatz
bioRxiv 2020.01.29.925768; doi: https://doi.org/10.1101/2020.01.29.925768
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Sapling: Accelerating Suffix Array Queries with Learned Data Models
Melanie Kirsche, Arun Das, Michael C. Schatz
bioRxiv 2020.01.29.925768; doi: https://doi.org/10.1101/2020.01.29.925768

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