Search Results for author: Johannes Hingerl

Found 2 papers, 2 papers with code

Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing

1 code implementation bioRxiv 2023 Daniela Klaproth-Andrade, Johannes Hingerl, Nicholas H. Smith, Jakob Träuble, Mathias Wilhelm, Julien Gagneur

Unlike for DNA and RNA, accurate and high-throughput sequencing methods for proteins are lacking, hindering the utility of proteomics in applications where the sequences are unknown including variant calling, neoepitope identification, and metaproteomics.

de novo peptide sequencing

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