Author

Vojtěch Bartoň

Brno University of TechnologyORCID 0000-0002-1918-2989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Helena ŠkutkováiD· 2 shared Elliott James PriceiD· 1 shared Garry CodlingiD· 1 shared Ivana IhnatováiD· 1 shared Jiří KalinaiD· 1 shared Markéta NykrýnováiD· 1 shared Martina LengerováiD· 1 shared Matěj BezdíčekiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Helena ŠkutkováORCID

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2 papers

Recent·Most cited

A Multiresolution Hierarchical Approach to Peak Picking for High Resolution Mass Spectrometry Data Analysis

Vojtěch Bartoň, Ivana Ihnatová, Jiří Kalina, Garry Codling, Elliott James Price, Helena Vítková, Vlad Popovici

MRH improves peak detection in HRMS data by using a hierarchical, multi-resolution approach, achieving higher accuracy and lower ambiguity than existing methods.

bioRxiv · Dec 10, 2025 · PreprintBioinformatics

Using Deep Learning for Gene Detection and Classification in Raw Nanopore Signals

Markéta Nykrýnová, Vojtěch Bartoň, Roman Jakubíček, Matěj Bezdíček, Martina Lengerová, Helena Škutková

This paper presents a neural network that detects and classifies genomic regions from raw nanopore signals, bypassing the need for basecalling.

Frontiers in Microbiology · Sep 15, 2022Peer-reviewedBioinformatics