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Nicole E Wheeler

Showing results (1-10 of 29) with videos related to

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Frontiers in Bioengineering and Biotechnology|February 20, 2025
Responsible AI in biotechnology: balancing discovery, innovation and biosecurity risksNicole E Wheeler
Nature Reviews. Microbiology|February 12, 2019
Tracing outbreaks with machine learningNicole E Wheeler
Plos Biology|December 16, 2025
Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistanceYanying Yu, Nicole E Wheeler, Lars Barquist
Plos Genetics|May 9, 2018
Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella entericaNicole E Wheeler, Paul P Gardner, Lars Barquist
Nature Reviews. Microbiology|March 27, 2018
Breaking the code of antibiotic resistanceStephanie W Lo, Narender Kumar, Nicole E Wheeler
Nature Reviews. Microbiology|March 24, 2020
Lean, mean, learning machinesNicole E Wheeler, Leonor Sánchez-Busó, Silvia Argimón, et al.
Bioinformatics (Oxford, England)|August 10, 2016
A profile-based method for identifying functional divergence of orthologous genes in bacterial genomesNicole E Wheeler, Lars Barquist, Robert A Kingsley, et al.
RNA Biology|January 10, 2017
Why so narrow: Distribution of anti-sense regulated, type I toxin-antitoxin systems compared with type II and type III systemsDorien S Coray, Nicole E Wheeler, Jack A Heinemann, et al.
Microbiome|April 21, 2023
Gauge your phage: benchmarking of bacteriophage identification tools in metagenomic sequencing dataSiu Fung Stanley Ho, Nicole E Wheeler, Andrew D Millard, et al.
Applied Biosafety : Journal of the American Biological Safety Association|August 12, 2024
Developing a Common Global Baseline for Nucleic Acid Synthesis ScreeningNicole E Wheeler, Sarah R Carter, Tessa Alexanian, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Frontiers in Bioengineering and Biotechnology|February 20, 2025
Responsible AI in biotechnology: balancing discovery, innovation and biosecurity risksNicole E Wheeler
Nature Reviews. Microbiology|February 12, 2019
Tracing outbreaks with machine learningNicole E Wheeler
Plos Biology|December 16, 2025
Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistanceYanying Yu, Nicole E Wheeler, Lars Barquist
Plos Genetics|May 9, 2018
Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella entericaNicole E Wheeler, Paul P Gardner, Lars Barquist
Nature Reviews. Microbiology|March 27, 2018
Breaking the code of antibiotic resistanceStephanie W Lo, Narender Kumar, Nicole E Wheeler
Nature Reviews. Microbiology|March 24, 2020
Lean, mean, learning machinesNicole E Wheeler, Leonor Sánchez-Busó, Silvia Argimón, et al.
Bioinformatics (Oxford, England)|August 10, 2016
A profile-based method for identifying functional divergence of orthologous genes in bacterial genomesNicole E Wheeler, Lars Barquist, Robert A Kingsley, et al.
RNA Biology|January 10, 2017
Why so narrow: Distribution of anti-sense regulated, type I toxin-antitoxin systems compared with type II and type III systemsDorien S Coray, Nicole E Wheeler, Jack A Heinemann, et al.
Microbiome|April 21, 2023
Gauge your phage: benchmarking of bacteriophage identification tools in metagenomic sequencing dataSiu Fung Stanley Ho, Nicole E Wheeler, Andrew D Millard, et al.
Applied Biosafety : Journal of the American Biological Safety Association|August 12, 2024
Developing a Common Global Baseline for Nucleic Acid Synthesis ScreeningNicole E Wheeler, Sarah R Carter, Tessa Alexanian, et al.
Pageof 3