Publications by authors named "Jozef Sitarcik"

As the COVID-19 transits to endemicity, the frequency of clinical testing and its utility for determining lineage prevalence has declined. This situation is not unique to Slovakia but reflects a global trend, as attention shifts from COVID-19 to other post-pandemic issues and emerging global health challenges. Nevertheless, the pandemic itself has spurred advancements in monitoring the epidemiological situation.

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With the rapid growth of massively parallel sequencing technologies, still more laboratories are utilising sequenced DNA fragments for genomic analyses. Interpretation of sequencing data is, however, strongly dependent on bioinformatics processing, which is often too demanding for clinicians and researchers without a computational background. Another problem represents the reproducibility of computational analyses across separated computational centres with inconsistent versions of installed libraries and bioinformatics tools.

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Motivation: Short tandem repeats (STRs) are regions of a genome containing many consecutive copies of the same short motif, possibly with small variations. Analysis of STRs has many clinical uses but is limited by technology mainly due to STRs surpassing the used read length. Nanopore sequencing, as one of long-read sequencing technologies, produces very long reads, thus offering more possibilities to study and analyze STRs.

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Article Synopsis
  • The Ministry of Health in Slovakia created a genomics surveillance workgroup to monitor SARS-CoV-2 using whole-genome sequencing (WGS) during the pandemic.
  • A total of 33,024 SARS-CoV-2 isolates were sequenced from March 2021 to March 2022, with the majority successfully deposited in the GISAID database.
  • The study identified four variants of concern (Alpha, Beta, Delta, and Omicron) and documented their prevalence during three major waves of infections in Slovakia.
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Computing similarity between 2 nucleotide sequences is one of the fundamental problems in bioinformatics. Current methods are based mainly on 2 major approaches: (1) sequence alignment, which is computationally expensive, and (2) faster, but less accurate, alignment-free methods based on various statistical summaries, for example, short word counts. We propose a new distance measure based on mathematical transforms from the domain of signal processing.

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