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Mária Lucká

dblp:06/6501 · DBLP profile ↗
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7ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-2061-1194ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021Databases, data management, data science and information retrieval · 2Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-author

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.7
2019 Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Peter Laurinec, Mária Lucká
Data Min. Knowl. Discov.2
2019 Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption
Peter Laurinec, Marek Lóderer, Mária Lucká, Viera Rozinajová
J. Intell. Inf. Syst.3
2016 Effective Parallel Multicore-Optimized K-mers Counting Algorithm
Tomás Farkas, Peter Kubán, Mária Lucká
SOFSEM3
2008 Grid Services for Parallel Molecular Dynamics with NAMD and CHARMM
Siegfried Benkner, Mária Lucká, Othmar Steinhauser
ICCSA (1)3
2008 Application of multistage stochastic programs solved in parallel in portfolio management
Mária Lucká, Igor Melichercík, Ladislav Halada
Parallel Comput.1
2004 Parallel Ant Systems for the Capacitated Vehicle Routing Problem
Karl F. Doerner, Richard F. Hartl, Günter Kiechle, Mária Lucká, Marc Reimann
EvoCOP4