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Erik Kristiansson

Showing results (1-10 of 142) with videos related to

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Bioinformatics (Oxford, England)|August 22, 2009
ShotgunFunctionalizeR: an R-package for functional comparison of metagenomesErik Kristiansson, Philip Hugenholtz, Daniel Dalevi
Nature Communications|November 6, 2022
Economic interests cloud hazard reductions in the European regulation of substances of very high concernJessica Coria, Erik Kristiansson, Mikael Gustavsson
BMC Genomics|April 23, 2017
HirBin: high-resolution identification of differentially abundant functions in metagenomesTobias Österlund, Viktor Jonsson, Erik Kristiansson
Mbio|June 17, 2026
Reply to Bonomo and Hujer, "Enhancing clinical utility of AI-based antimicrobial resistance models: a perspective"Juan S Inda-Díaz, Erik Kristiansson
Gigascience|September 10, 2015
Tentacle: distributed quantification of genes in metagenomesFredrik Boulund, Anders Sjögren, Erik Kristiansson
Future Microbiology|October 10, 2025
Data limitations hinder the development of AI-based decision support for the treatment of antibiotic-resistant bacteriaAnna Johnning, Styrbjörn Käll, Erik Kristiansson
BMC Genomics|January 27, 2016
Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomicsViktor Jonsson, Tobias Österlund, Olle Nerman, et al.
The Journal of Antimicrobial Chemotherapy|February 13, 2019
CMY-1/MOX-family AmpC β-lactamases MOX-1, MOX-2 and MOX-9 were mobilized independently from three Aeromonas speciesStefan Ebmeyer, Erik Kristiansson, D G Joakim Larsson
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 29, 2016
Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant GenesViktor Jonsson, Tobias Österlund, Olle Nerman, et al.
Communications Biology|January 5, 2021
A framework for identifying the recent origins of mobile antibiotic resistance genesStefan Ebmeyer, Erik Kristiansson, D G Joakim Larsson
Pageof 15

Showing results (1-10 of 142) with videos related to

Sort By:
Pageof 15
Bioinformatics (Oxford, England)|August 22, 2009
ShotgunFunctionalizeR: an R-package for functional comparison of metagenomesErik Kristiansson, Philip Hugenholtz, Daniel Dalevi
Nature Communications|November 6, 2022
Economic interests cloud hazard reductions in the European regulation of substances of very high concernJessica Coria, Erik Kristiansson, Mikael Gustavsson
BMC Genomics|April 23, 2017
HirBin: high-resolution identification of differentially abundant functions in metagenomesTobias Österlund, Viktor Jonsson, Erik Kristiansson
Mbio|June 17, 2026
Reply to Bonomo and Hujer, "Enhancing clinical utility of AI-based antimicrobial resistance models: a perspective"Juan S Inda-Díaz, Erik Kristiansson
Gigascience|September 10, 2015
Tentacle: distributed quantification of genes in metagenomesFredrik Boulund, Anders Sjögren, Erik Kristiansson
Future Microbiology|October 10, 2025
Data limitations hinder the development of AI-based decision support for the treatment of antibiotic-resistant bacteriaAnna Johnning, Styrbjörn Käll, Erik Kristiansson
BMC Genomics|January 27, 2016
Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomicsViktor Jonsson, Tobias Österlund, Olle Nerman, et al.
The Journal of Antimicrobial Chemotherapy|February 13, 2019
CMY-1/MOX-family AmpC β-lactamases MOX-1, MOX-2 and MOX-9 were mobilized independently from three Aeromonas speciesStefan Ebmeyer, Erik Kristiansson, D G Joakim Larsson
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 29, 2016
Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant GenesViktor Jonsson, Tobias Österlund, Olle Nerman, et al.
Communications Biology|January 5, 2021
A framework for identifying the recent origins of mobile antibiotic resistance genesStefan Ebmeyer, Erik Kristiansson, D G Joakim Larsson
Pageof 15