Author

Lucy Jimenez

University of CologneORCID 0000-0002-2176-0450Unclaimed 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· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:non-human primate· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Philipp H. SchifferiD· 2 shared Ann‐Marie WaldvogeliD· 1 shared Anna SeniczakiD· 1 shared Antje SchusteriD· 1 shared Christian BeckeriD· 1 shared Hüsna ÖztoprakiD· 1 shared Ina SchaeferiD· 1 shared Isabella Di Stefano· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Philipp H. SchifferORCID

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2 papers

Recent·Most cited

Genomes of ancient asexual mites appear streamlined in their architecture

Nadège Guiglielmoni, Mohammed Errbii, Hüsna Öztoprak, Viktoria Bednarski, Karim Gueddach, Lea Borgschulte, Svenja Wulsch, Marshall Brickheimer, Isabella Di Stefano, Lucy Jimenez, Jakob Zelzner, Antje Schuster, Christian Becker, Kerstin Becker, Miklós Bálint, , Jens Bast

This study compares the genomes of ancient asexual and sexual oribatid mites, finding that asexual species have streamlined genomes with fewer novel genes compared to their sexual relatives.

bioRxiv · Dec 2, 2025 · PreprintGenomics

Ultraconserved elements and machine learning classifiers enable robust phylogenetics and taxonomy in model and non-model nematodes

Laura I. Villegas, Lucy Jimenez, Joëlle van der Sprong, Oleksandr V. Holovachov, Ann‐Marie Waldvogel, Philipp H. Schiffer

The paper develops ultraconserved elements (UCEs) and machine learning classifiers to improve phylogenetic analysis and taxonomy in nematodes, achieving accurate genus-level classification with minimal loci.

Molecular Ecology Resources · Oct 8, 2025Peer-reviewedEvolutionary Biology