Author

Petar Arsic

Leibniz Institute for the Analysis of Biodiversity Change

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christoph MayeriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

1 paper

Recent·Most cited

Ali-U-Net: A Convolutional Transformer Neural Net for Multiple Sequence Alignment of DNA Sequences. A proof of concept

Petar Arsic, Christoph Mayer

Ali-U-Net is a convolutional transformer neural network that aligns DNA sequences more accurately and faster than existing tools in specific scenarios.

bioRxiv · Feb 26, 2025 · PreprintBioinformatics