Author

Iñigo Prada-Luengo

University of CopenhagenORCID 0000-0002-4392-0726Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:multiple species· 1

Frequent Co-Authors

Anders KroghiD· 3 shared Aitor ZabalaiD· 2 shared Alex M. AscensióniD· 2 shared David OtaeguiiD· 2 shared Birgitte RegenbergiD· 1 shared Frederik Otzen BaggeriD· 1 shared Lasse MarettyiD· 1 shared Thilde TerkelseniD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioinformatics

Anders KroghORCID

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4 papers

Recent·Most cited

Extrachromosomal circular DNA formation follows a 10.5-bp periodicity reflecting the minor groove orientation around nucleosomes

Aitor Zabala, Alex M. Ascensión, Frederik Otzen Bagger, Anders Krogh, David Otaegui, Iñigo Prada-Luengo

The paper analyzes eccDNA length distributions and breakpoint organization across multiple datasets to show that eccDNA formation is influenced by nucleosome positioning and DNA helix orientation.

bioRxiv · Oct 21, 2026 · PreprintGenomics

Comparative analysis of eccDNA and circRNA tools shows increased accuracy of tool combination

Aitor Zabala, Alex M. Ascensión, Iñigo Prada-Luengo, David Otaegui

The paper evaluates circular nucleic acid detection tools, finding that combining at least three tools improves accuracy.

GigaScience · Jan 1, 2026Peer-reviewedBioinformatics

N-of-one differential gene expression without control samples using a deep generative model

Iñigo Prada-Luengo, Viktoria Schuster, Yuhu Liang, Thilde Terkelsen, Valentina Sora, Anders Krogh

This paper introduces a deep generative model to perform differential gene expression analysis on single cancer samples without control samples, outperforming DESeq2 in detecting differentially expressed genes.

Genome biology · Nov 16, 2023Peer-reviewedBioinformatics

Sensitive detection of circular DNA at single-nucleotide resolution using guided realignment of partially aligned reads

Iñigo Prada-Luengo, Anders Krogh, Lasse Maretty, Birgitte Regenberg

Circle-Map improves detection of circular DNA from short-read sequencing data by realigning partially aligned reads using discordantly mapped reads.

BMC Bioinformatics · Dec 1, 2019Peer-reviewedBioinformatics