Author

Lasse Schnell Danielsen

University of CopenhagenORCID 0009-0006-2084-6363Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Approach:contrastive learning· 1 Organism:human· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Pau Piera LíndeziD· 2 shared Simon RasmusseniD· 2 shared Alex GobbiiD· 1 shared Iva KovačićiD· 1 shared Jakob Nybo Andersen· 1 shared Jakob Nybo NisseniD· 1 shared Jesper Cairo WestergaardiD· 1 shared Joseph NesmeiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Pau Piera LíndezORCID

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2 papers

Recent·Most cited

BioinformaticsNature BiotechnologyPeer-reviewedApr 27, 2026

Binning meets taxonomy: TaxVAMB improves metagenome binning using bi-modal variational autoencoder

Svetlana Kutuzova, Pau Piera Líndez, Lasse Schnell Danielsen…·Simon Rasmussen

TaxVAMB improves metagenome binning by combining tetranucleotide frequencies and co-abundances with taxonomic annotations, outperforming existing methods on benchmark and real datasets.

4 citationstop 2%

humanmetagenomics

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BioinformaticsNature BiotechnologyPeer-reviewedFeb 4, 2026

Accurate plasmid reconstruction from metagenomics data using assembly-alignment graphs and contrastive learning

Pau Piera Líndez, Lasse Schnell Danielsen, Iva Kovačić…·Simon Rasmussen

PlasMAAG improves plasmid reconstruction from metagenomics data using assembly-alignment graphs and contrastive learning, outperforming existing methods in accuracy and efficiency.

7 citationstop 1%

bacteria (other)metagenomics

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