Author

Marie Riisgaard-Jensen

Aalborg UniversityORCID 0000-0002-4910-8739Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:bacteria (other)· 2 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Assay:long-read sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Morten Simonsen DueholmiD· 4 shared Per Halkjær NielseniD· 3 shared Rasmus Hansen KirkegaardiD· 3 shared Kasper Skytte AnderseniD· 2 shared Aaron James MussigiD· 1 shared Albert Vejlin Stefansen· 1 shared Anders Ogechi Hostrup DaugbergiD· 1 shared Angie WaldispergiD· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersBioinformatics

Morten Simonsen DueholmORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

MicrobiologybioRxivPreprintJul 13, 2026

The MiDAS global genome catalog: 53,501 long-read MAGs representing all core prokaryotic genera in the global activated sludge microbiome

Lei Liu, Caitlin M. Singleton, Rasmus Hansen Kirkegaard…·Morten Simonsen Dueholm

The paper constructs a global genome catalog of 53,501 long-read MAGs from activated sludge, representing 12,047 prokaryotic species and enabling analysis of functional traits and ecological roles in wastewater treatment systems.

DOI 10.64898/2026.07.10.737647

bacteria (other)long-read sequencing

BioinformaticsbioRxivPreprintMay 29, 2026

Sensitive long-read amplicon sequence variant recovery with savont

Jim Shaw, Marie Riisgaard-Jensen, Kasper Skytte Andersen…·Heng Li

Savont improves ASV recovery from long-read amplicon sequencing with high accuracy and lower sequencing depth.

1 citation

long-read sequencingstatistical model

BioinformaticsbioRxivPreprintFeb 28, 2026

Nanopore sequencing reaches amplicon sequence variant (ASV) resolution

Marie Riisgaard-Jensen, Stefania Andrea Rosso Villanelo, Kasper Skytte Andersen…·Morten Simonsen Dueholm

This study shows that Oxford Nanopore Technologies can generate amplicon sequence variants (ASVs) directly from raw reads, enabling high-resolution microbial community profiling without reliance on reference databases.

2 citations

metagenomicsstatistical model

BioinformaticsbioRxivPreprintDec 23, 2025

epsSMASH uncovers exopolysaccharide biosynthetic gene clusters in environmental and human microbiomes

Anders Ogechi Hostrup Daugberg, Angie Waldisperg, Marie Riisgaard-Jensen…·Morten Simonsen Dueholm

epsSMASH identifies exopolysaccharide biosynthetic gene clusters in environmental and human microbiomes, revealing widespread uncharacterized clusters.

6 citations

humanbacteria (other)