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Jozef Sitarcík

dblp:243/4594 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0009-0000-7521-9726ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › repetitive DNA analysis
tandem repeat analysis
0.712023
WarpSTR: determining tandem repeat lengths using raw nanopore signals · Bioinform. 2023
Bioinformatics and computational biology › sequence analysis
nanopore sequencing
0.212023
WarpSTR: determining tandem repeat lengths using raw nanopore signals · Bioinform. 2023

Methods — techniques the papers use, named apart from their topics

finite state automaton · 0.7dynamic time warping · 0.7
YearPublicationVenuePosition
2023 WarpSTR: determining tandem repeat lengths using raw nanopore signals
abstract
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. Basecalling of nanopore reads is however particularly unreliable in repeating regions, and therefore direct analysis from raw nanopore data is required. RESULTS: Here, we present WarpSTR, a novel method for characterizing both simple and complex tandem repeats directly from raw nanopore signals using a finite-state automaton and a search algorithm analogous to dynamic time warping. By applying this approach to determine the lengths of 241 STRs, we demonstrate that our approach decreases the mean absolute error of the STR length estimate compared to basecalling and STRique. AVAILABILITY AND IMPLEMENTATION: WarpSTR is freely available at https://github.com/fmfi-compbio/warpstr.
Jozef Sitarcík, Tomás Vinar, Brona Brejová, Werner Krampl, Jaroslav Budis, Ján Radvánszky, Mária Lucká
Bioinform.1