Author

Luis F. Delgado

Science for Life LaboratoryORCID 0000-0001-7850-5285Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:machine learning (classical)· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

Anders F. AnderssoniD· 2 shared Adam WoźniczkaiD· 1 shared Bengt KarlsoniD· 1 shared Cedric Christian LacznyiD· 1 shared Christian PanschiD· 1 shared Daniel P. R. HerlemanniD· 1 shared David J. RiedingeriD· 1 shared Emma BelliD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

Anders F. AnderssonORCID

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3 papers

Recent·Most cited

MicrobiologymBioPeer-reviewedJun 17, 2026

Phylogeny-aware comparative genomics of Vibrio vulnificus links genetic traits to pathogenicity

Luis F. Delgado, David J. Riedinger, Víctor Fernández‐Juárez…·Anders F. Andersson

This study uses comparative genomics to identify virulence-related genes in Vibrio vulnificus by analyzing clinical and environmental isolates, revealing convergent evolution and potential diagnostic markers.

DOI 10.1128/mbio.00205-26

viruswhole-genome sequencing

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MicrobiologyCommunications Earth & EnvironmentPeer-reviewedJun 15, 2026

The marine microbiome can accurately predict its chemical and biological environment

Emma Bell, Karin Garefelt, Krzysztof T Jurdzinski…·Anders F. Andersson

This study uses DNA metabarcoding to predict environmental parameters and plankton communities in the Baltic Sea, showing its effectiveness compared to traditional methods.

1 citation

metagenomicsmachine learning (classical)

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BioinformaticsbioRxivPreprintDec 9, 2024

PathoFact 2.0: An Integrative Pipeline for Predicting Antimicrobial Resistance Genes, Virulence Factors, Toxins and Biosynthetic Gene Clusters in Metagenomes

Júlia Ortís Sunyer, Luis F. Delgado, Oskar Hickl…·Paul Wilmes

PathoFact 2.0 improves prediction of antimicrobial resistance genes, virulence factors, toxins, and biosynthetic gene clusters in metagenomes through updated models and tools.

4 citations

metagenomicsmachine learning (classical)

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