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Nicolas Arning

Showing results (1-10 of 8) with videos related to

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Microbial Genomics|June 30, 2020
The past, present and future of ancient bacterial DNANicolas Arning, Daniel J Wilson
Proceedings of the National Academy of Sciences of the United States of America|January 2, 2026
Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using DoublethinkNicolas Arning, Helen R Fryer, Daniel J Wilson
Current Opinion in Insect Science|October 11, 2016
Chapter 6. Comparative genomic approaches to investigate molecular traits specific to social insectsDaniel Elsner, Lukas Pm Kremer, Nicolas Arning, et al.
Genome Biology|September 27, 2025
Machine learning and statistical inference in microbial population genomicsSamuel K Sheppard, Nicolas Arning, David W Eyre, et al.
Plos Genetics|October 18, 2021
Machine learning to predict the source of campylobacteriosis using whole genome dataNicolas Arning, Samuel K Sheppard, Sion Bayliss, et al.
Journal of Experimental Zoology. Part B, Molecular and Developmental Evolution|July 13, 2018
Expansions of key protein families in the German cockroach highlight the molecular basis of its remarkable success as a global indoor pestMark C Harrison, Nicolas Arning, Lukas P M Kremer, et al.
The Journal of Infection|September 8, 2024
Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance dataBen Pascoe, Georgina Futcher, Johan Pensar, et al.
Nature Ecology & Evolution|February 7, 2018
Hemimetabolous genomes reveal molecular basis of termite eusocialityMark C Harrison, Evelien Jongepier, Hugh M Robertson, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Microbial Genomics|June 30, 2020
The past, present and future of ancient bacterial DNANicolas Arning, Daniel J Wilson
Proceedings of the National Academy of Sciences of the United States of America|January 2, 2026
Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using DoublethinkNicolas Arning, Helen R Fryer, Daniel J Wilson
Current Opinion in Insect Science|October 11, 2016
Chapter 6. Comparative genomic approaches to investigate molecular traits specific to social insectsDaniel Elsner, Lukas Pm Kremer, Nicolas Arning, et al.
Genome Biology|September 27, 2025
Machine learning and statistical inference in microbial population genomicsSamuel K Sheppard, Nicolas Arning, David W Eyre, et al.
Plos Genetics|October 18, 2021
Machine learning to predict the source of campylobacteriosis using whole genome dataNicolas Arning, Samuel K Sheppard, Sion Bayliss, et al.
Journal of Experimental Zoology. Part B, Molecular and Developmental Evolution|July 13, 2018
Expansions of key protein families in the German cockroach highlight the molecular basis of its remarkable success as a global indoor pestMark C Harrison, Nicolas Arning, Lukas P M Kremer, et al.
The Journal of Infection|September 8, 2024
Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance dataBen Pascoe, Georgina Futcher, Johan Pensar, et al.
Nature Ecology & Evolution|February 7, 2018
Hemimetabolous genomes reveal molecular basis of termite eusocialityMark C Harrison, Evelien Jongepier, Hugh M Robertson, et al.
Pageof 1