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Accurate and robust inference of microbial growth dynamics from metagenomic sequencing

Tyler A. Joseph, Philippe Chlenski, Tal Korem, Itsik Pe’er
doi: https://doi.org/10.1101/2021.02.02.429365
Tyler A. Joseph
1Department of Computer Science, Columbia University, New York, NY, USA
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Philippe Chlenski
1Department of Computer Science, Columbia University, New York, NY, USA
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Tal Korem
2Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
3Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
4CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, Ontario, Canada
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  • For correspondence: tk2829@cumc.columbia.edu itsik@cs.columbia.edu
Itsik Pe’er
1Department of Computer Science, Columbia University, New York, NY, USA
2Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
5Data Science Institute, Columbia University, New York, NY, USA
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  • For correspondence: tk2829@cumc.columbia.edu itsik@cs.columbia.edu
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Posted February 02, 2021.
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Accurate and robust inference of microbial growth dynamics from metagenomic sequencing
Tyler A. Joseph, Philippe Chlenski, Tal Korem, Itsik Pe’er
bioRxiv 2021.02.02.429365; doi: https://doi.org/10.1101/2021.02.02.429365
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Accurate and robust inference of microbial growth dynamics from metagenomic sequencing
Tyler A. Joseph, Philippe Chlenski, Tal Korem, Itsik Pe’er
bioRxiv 2021.02.02.429365; doi: https://doi.org/10.1101/2021.02.02.429365

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