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REINDEER: efficient indexing of k-mer presence and abundance in sequencing datasets

Camille Marchet, Zamin Iqbal, Daniel Gautheret, Mikael Salson, Rayan Chikhi
doi: https://doi.org/10.1101/2020.03.29.014159

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doi 
https://doi.org/10.1101/2020.03.29.014159
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  • March 30, 2020.

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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-NC-ND 4.0 International license.

Author Information

  1. Camille Marchet1,*,
  2. Zamin Iqbal2,
  3. Daniel Gautheret3,
  4. Mikael Salson1 and
  5. Rayan Chikhi4
  1. 1Univ. Lille, CNRS, UMR 9189 - CRIStAL, F-59000 Lille, France
  2. 2European Bioinformatics Institute, Cambridge, UK
  3. 3Université Paris-Saclay, France
  4. 4Insitut Pasteur, CNRS, France
  1. ↵*Corresponding author; email: marchetcamille{at}gmail.com
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Posted March 30, 2020.
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REINDEER: efficient indexing of k-mer presence and abundance in sequencing datasets
Camille Marchet, Zamin Iqbal, Daniel Gautheret, Mikael Salson, Rayan Chikhi
bioRxiv 2020.03.29.014159; doi: https://doi.org/10.1101/2020.03.29.014159
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