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BMC Bioinformatics|July 20, 2022
Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw dataKonstantin Bob, David Teschner, Thomas Kemmer, et al.Journal of Proteome Research|April 22, 2025
Rustims: An Open-Source Framework for Rapid Development and Processing of timsTOF Data-Dependent Acquisition DataDavid Teschner, David Gomez-Zepeda, Mateusz K Łącki, et al.Frontiers in Genetics|October 15, 2019
Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription SignaturesLukas Schmidt, Stephan Werner, Thomas Kemmer, et al.Nucleic Acids Research|February 26, 2020
Machine learning of reverse transcription signatures of variegated polymerases allows mapping and discrimination of methylated purines in limited transcriptomesStephan Werner, Lukas Schmidt, Virginie Marchand, et al.Nucleic Acids Research|December 14, 2020
NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deaminationStephan Werner, Aurellia Galliot, Florian Pichot, et al.Pageof 1