Author

Helena Škutková

Brno University of TechnologyORCID 0000-0003-4562-2746Unclaimed 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

Vojtěch BartoňiD· 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

Vojtěch BartoňORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 10, 2025

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

Vojtěch Bartoň, Ivana Ihnatová, Jiří Kalina…·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.

DOI 10.64898/2025.12.07.692807

metabolomicsstatistical model

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BioinformaticsFrontiers in MicrobiologyPeer-reviewedSep 15, 2022

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

Markéta Nykrýnová, Vojtěch Bartoň, Roman Jakubíček…·Helena Škutková

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

5 citations

long-read sequencingdeep learning

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