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In Silico Benchmarking of Metagenomic Tools for Coding Sequence Detection Reveals the Limits of Sensitivity and Precision

Jonathan Louis Golob, Samuel Schwartz Minot
doi: https://doi.org/10.1101/295352

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doi 
https://doi.org/10.1101/295352
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  • May 22, 2019.

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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.

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  1. Jonathan Louis Golob1 and
  2. Samuel Schwartz Minot2,*
  1. 1Infectious Diseases, Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
  2. 2Microbiome Research Initiative, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
  1. ↵*Corresponding Author: Samuel Schwartz Minot, 1100 Fairview Ave N, E4-100, Seattle, WA. 98109-1024, 206-667-2884, sminot{at}fredhutch.org
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Posted May 22, 2019.
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In Silico Benchmarking of Metagenomic Tools for Coding Sequence Detection Reveals the Limits of Sensitivity and Precision
Jonathan Louis Golob, Samuel Schwartz Minot
bioRxiv 295352; doi: https://doi.org/10.1101/295352
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