Author

O. Lund

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C. Schultsz· 2 shared COMPARE ML-AMR group· 2 shared F. M. Aarestrup· 2 shared I. Csabai· 2 shared S. J. Pamp· 2 shared S. Matamoros· 2 shared A. Battisti· 1 shared A. Bossers· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersMicrobiology

C. Schultsz

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

B. A. Pataki, S. Matamoros, B. C. L. van der Putten, D. Remondini, E. Giampieri, D. Aytan-Aktug, R. S. Hendriksen, O. Lund, I. Csabai, C. Schultsz, COMPARE ML-AMR group

This paper predicts ciprofloxacin minimum inhibitory concentration in Escherichia coli using machine learning based on genome-wide mutation profiles and antimicrobial resistance gene presence.

bioRxiv · Jan 17, 2020Microbiology

Specific Gut Microbiome Members are Associated with Distinct Immune Markers in Allogeneic Hematopoietic Stem Cell Transplantation

A. C. Masche, K. Kielsen, M. S. Cilieborg, O. Lund, S. Holmes, F. M. Aarestrup, K. G. Muller, S. J. Pamp

The paper identifies associations between gut microbiome taxa and immune markers in HSCT patients, linking specific microbial profiles to clinical outcomes like aGvHD and mortality.

bioRxiv · Mar 28, 2019 · PreprintMicrobiology

Accelerating surveillance and research of antimicrobial resistance - an online repository for sharing of antimicrobial susceptibility data associated with whole genome sequences

S. Matamoros, R. Hendriksen, B. Pataki, N. Pakseresht, M. Rossello, N. Silvester, C. Amid, COMPARE ML-AMR group, G. Cochrane, I. Csabai, O. Lund, C. Schultsz

The paper introduces an online repository for sharing antimicrobial susceptibility data linked to whole genome sequences to enhance AMR surveillance and research.

bioRxiv · Jan 28, 2019Microbiology

Abundance and diversity of the fecal resistome in slaughter pigs and broilers in nine European countries

P. Munk, B. E. Knudsen, O. Lukjacenko, A. S. R. Duarte, R. E. C. Luiken, L. Van Gompel, L. A. M. Smit, H. Schmitt, A. D. Garcia, R. B. Hansen, T. N. Petersen, A. Bossers, E. Ruppe, H. Graveland, A. van Essen, , F. M. Aarestrup

The paper quantifies and compares the resistomes of slaughter pigs and broilers across nine European countries, finding differences in AMR gene abundance and diversity linked to country-specific antimicrobial usage.

bioRxiv · Sep 28, 2017Microbiology