Author

Georg Tscheuschner

Federal Institute For Materials Research and TestingORCID 0000-0002-2311-1016Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Bernhard Y. RenardiD· 1 shared Denis BesliciD· 1 shared Michael G. WelleriD· 1 shared Thilo MuthiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bernhard Y. RenardORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedNov 15, 2022

Current state, existing challenges, and promising progress for de novo sequencing and assembly of monoclonal antibodies

Denis Beslic, Georg Tscheuschner, Bernhard Y. Renard…·Thilo Muth

This study evaluates de novo sequencing tools for monoclonal antibodies, finding that deep learning methods improve recall but challenges remain in heavy chain sequencing.

67 citationstop 2%

proteomicsdeep learning

𝕏 PostBluesky