Author

Matěj Bezdíček

Masaryk UniversityORCID 0000-0002-5833-8325Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Alexander LoyiD· 1 shared Helena ŠkutkováiD· 1 shared Jay OsvaticiD· 1 shared Joana SénecaiD· 1 shared Johannes GafrilleriD· 1 shared Markéta NykrýnováiD· 1 shared Martin ZehliD· 1 shared Martina LengerováiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

Alexander LoyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Kineochelins - a novel group of siderophores from an Antarctic bacterium

Stanislava Králová, Peter Spacek, Johannes Gafriller, Matěj Bezdíček, Viktoria Medvedcova, Joana Séneca, Jay Osvatic, Ulrike Grienke, Thomas Rattei, Olga N. Sekurova, Sergey B. Zotchev, Martin Zehl, Alexander Loy

This paper characterizes kineochelins, novel siderophores from an Antarctic actinomycete, showing their iron-chelating activity and ecological relevance.

bioRxiv · Feb 23, 2026 · PreprintMicrobiology

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