Author

Lucas Bickmann

University of MünsterORCID 0000-0001-9043-7844Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:large language model· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Carolin WalteriD· 1 shared Julian VargheseiD· 1 shared Matías RodrigueziD· 1 shared Sarah SandmanniD· 1 shared Wojciech MakałowskiiD· 1 shared Xiaoyi Jiang· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Carolin WalterORCID

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2 papers

Recent·Most cited

BioinformaticsBiologyPeer-reviewedDec 29, 2025

TEclass2: Classification of transposable elements using Transformers

Lucas Bickmann, Matías Rodriguez, Xiaoyi Jiang, Wojciech Makałowski

TEclass2 classifies transposable elements using a Transformer-based deep learning model, offering reliable results and a user-friendly tool for TE annotation.

15 citationstop 4%

DNA methylationwhole-genome sequencing

BioinformaticsbioRxivPreprintFeb 9, 2024

PuMA: PubMed Gene-Celltype-Relation Atlas

Lucas Bickmann, Sarah Sandmann, Carolin Walter, Julian Varghese

PuMA extracts and visualizes gene-celltype relations from PubMed to aid in celltype annotation.

DOI 10.1101/2024.02.09.579584

large language modelcell type annotation