Author

Enrique Rayo

University of ZurichORCID 0000-0002-4497-4339Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Abagail BreidensteiniD· 1 shared Abigail Bouwman· 1 shared Albert PerlasiD· 1 shared Carina Phillips· 1 shared Constanza B. VenegasiD· 1 shared Edward J MartiniD· 1 shared Ela SauerborniD· 1 shared Frank Jakobus RühliiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Abagail BreidensteinORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska, Ela Sauerborn, Yuri Pinheiro Alves de Souza, Albert Perlas, Enrique Rayo, Michael Biggel, Stefan Kesselheim, Nicole Borel, Edward J Martin, Constanza B. Venegas, Michael Schloter, Kathrin Schröder, , Lara Urban

This paper introduces a computational framework using nanopore sequencing and deep learning to infer microbial viability from raw signal data, showing high accuracy in controlled and real-world applications.

GigaScience · Jan 1, 2025Peer-reviewedBioinformatics

Non-destructive extraction of DNA from preserved tissues in medical collections

Enrique Rayo, Giada Ferrari, Judith Neukamm, Gülfirde Akgül, Abagail Breidenstein, Martyn Cooke, Carina Phillips, Abigail Bouwman, Frank Jakobus Rühli, Verena J. Schuenemann

This paper presents a non-destructive method to extract DNA from preserved tissues and their fixative solutions, enabling genetic analysis without damaging the samples.

BioTechniques · Jan 17, 2022Peer-reviewedGenetics