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Scalable microbial strain inference in metagenomic data using StrainFacts

Byron J. Smith, Xiangpeng Li, Zhou Jason Shi, Adam Abate, Katherine S. Pollard
doi: https://doi.org/10.1101/2022.02.01.478746

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doi 
https://doi.org/10.1101/2022.02.01.478746
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  • April 9, 2022.

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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 4.0 International license.

Author Information

  1. Byron J. SmithAB,
  2. Xiangpeng LiC,
  3. Zhou Jason ShiAD,
  4. Adam AbateCD and
  5. Katherine S. PollardABD,*
  1. AThe Gladstone Institute of Data Science and Biotechnology, San Francisco, CA
  2. BDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA
  3. CDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA
  4. DChan-Zuckerberg Biohub, San Francisco, CA
  1. ↵*Corresponding author: katherine.pollard{at}gladstone.ucsf.edu
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Posted April 09, 2022.
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Scalable microbial strain inference in metagenomic data using StrainFacts
Byron J. Smith, Xiangpeng Li, Zhou Jason Shi, Adam Abate, Katherine S. Pollard
bioRxiv 2022.02.01.478746; doi: https://doi.org/10.1101/2022.02.01.478746
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