Author

Hana Lichancová

Comenius University BratislavaORCID 0000-0003-3350-8137Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:yeast· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:long-read sequencing· 1 Assay:proteomics· 1

Frequent Co-Authors

Broňa BrejováiD· 3 shared Jozef NosekiD· 3 shared Tomáš VinařiD· 3 shared Viktória HodorováiD· 3 shared Filip BrázdovičiD· 2 shared Ľubomír TomáškaiD· 2 shared Martina NeboháčováiD· 2 shared Andrea CillingováiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersMolecular Biology

Broňa BrejováORCID

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3 papers

Recent·Most cited

Molecular BiologyNucleic Acids ResearchPeer-reviewedMay 20, 2026

Noncanonical chromosomal-end-specific telomeric arrays in naturally telomerase-negative yeasts

Broňa Brejová, Viktória Hodorová, Hana Lichancová…·Jozef Nosek

The paper identifies noncanonical telomeric arrays in telomerase-negative yeasts and hypothesizes an ALT mechanism compensates for telomerase loss.

DOI 10.1093/nar/gkag566

yeastDNA methylation

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BioinformaticsbioRxivPreprintJul 13, 2023

Precise Nanopore Signal Modeling Improves Unsupervised Single-Molecule Methylation Detection

Vladimír Boža, Eduard Batmendijn, Peter Perešíni…·Tomáš Vinař

The paper improves unsupervised methylation detection in nanopore sequencing by enhancing dynamic time warping algorithms and introducing a new tool, Nadavca.

DOI 10.1101/2023.07.13.548926

long-read sequencingstatistical model

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GenomicsPLoS GeneticsPeer-reviewedMar 7, 2022

Transcriptome and proteome profiling reveals complex adaptations of Candida parapsilosis cells assimilating hydroxyaromatic carbon sources

Andrea Cillingová, Renáta Tóth, Anna Mojáková…·Jozef Nosek

This study profiles transcriptome and proteome of Candida parapsilosis assimilating hydroxyaromatic carbon sources, revealing pathway regulation and metabolic connections.

11 citations

yeastproteomics

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