Author

Jan-Niklas M. Schmelzle

Cornell UniversityORCID 0000-0001-8566-4049Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:optimal transport· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Erik P. GarrisoniD· 2 shared Pjotr PrinsiD· 2 shared Andrea GuarracinoiD· 1 shared François ChartoniD· 1 shared G. Edward SuhiD· 1 shared Jiajie LiiD· 1 shared Jörg HagmanniD· 1 shared Pengzhi HuangiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Erik P. GarrisonORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 15, 2025

Pangenome-Informed Language Models for Synthetic Genome Sequence Generation

Pengzhi Huang, François Charton, Jan-Niklas M. Schmelzle…·G. Edward Suh

This paper introduces pangenome-informed language models for generating synthetic DNA sequences, showing improved efficiency and quality over classical methods.

4 citationstop 1%

whole-genome sequencingdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 22, 2023

Pangenome graph layout by Path-Guided Stochastic Gradient Descent

Simon Heumos, Andrea Guarracino, Jan-Niklas M. Schmelzle…·Erik P. Garrison

This paper introduces a graph layout algorithm for pangenome graphs, enabling efficient visualization of large-scale genomic data.

4 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky