Author

Antti Karkman

University of HelsinkiORCID 0000-0003-0983-3319Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Anna AbramovaiD· 1 shared Denise Pezzutto· 1 shared Johan Bengtsson‐PalmeiD· 1 shared Marko VirtaiD· 1 shared Melina A. MarkkaneniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Anna AbramovaORCID

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2 papers

Recent·Most cited

MicrobiologyMicrobiology SpectrumPeer-reviewedNov 19, 2025

Sulfonamide resistance gene sul4 is hosted by common wastewater sludge bacteria and found in various newly described contexts and hosts including clinically relevant species

Melina A. Markkanen, Denise Pezzutto, Marko Virta, Antti Karkman

This study identifies the sul4 sulfonamide resistance gene in wastewater sludge bacteria and shows its presence in clinically relevant pathogens, highlighting its mobility and potential for horizontal gene transfer.

7 citations

humanmouse

𝕏 PostBluesky

BioinformaticsBMC GenomicsPeer-reviewedOct 14, 2024

Metagenomic assemblies tend to break around antibiotic resistance genes

Anna Abramova, Antti Karkman, Johan Bengtsson‐Palme

The paper evaluates metagenomic assembly tools' ability to recover antibiotic resistance gene (ARG) genomic contexts, finding that Trinity performs better than metaSPAdes and MEGAHIT in reconstructing accurate ARG-containing contigs.

56 citationstop 1%

metagenomicsstatistical model

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