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Marek Wiewiórka
Marek Wiewiórka
Verified email at ii.pw.edu.pl
Title
Cited by
Cited by
Year
SparkSeq: fast, scalable and cloud-ready tool for the interactive genomic data analysis with nucleotide precision
MS Wiewiórka, A Messina, A Pacholewska, S Maffioletti, P Gawrysiak, ...
Bioinformatics 30 (18), 2652-2653, 2014
1402014
Big data analysis: new algorithms for a new society
N Japkowicz, J Stefanowski
Springer, 2016
472016
Clinical applications for next-generation sequencing
U Demkow, R Ploski
Academic Press, 2015
302015
Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performance
W Ku¶mirek, A Szmur³o, M Wiewiórka, R Nowak, T Gambin
BMC bioinformatics 20, 1-10, 2019
192019
Benchmarking distributed data warehouse solutions for storing genomic variant information
MS Wiewiórka, DP Wysakowicz, MJ Okoniewski, T Gambin
Database 2017, bax049, 2017
122017
Scalable cloud-based data analysis software systems for big data from next generation sequencing
M Szczerba, MS Wiewiórka, MJ Okoniewski, H Rybiński
Big Data Analysis: New Algorithms for a New Society, 263-283, 2016
102016
SeQuiLa: an elastic, fast and scalable SQL-oriented solution for processing and querying genomic intervals
M Wiewiórka, A Le¶niewska, A Szmur³o, K Stźpień, M Borowiak, ...
Bioinformatics 35 (12), 2156-2158, 2019
82019
SeQuiLa-cov: A fast and scalable library for depth of coverage calculations
M Wiewiórka, A Szmur³o, W Ku¶mirek, T Gambin
GigaScience 8 (8), giz094, 2019
52019
Scalable Framework for the Analysis of Population Structure Using the Next Generation Sequencing Data
A Hryhorzhevska, MS Wiewiórka, M Okoniewski, T Gambin
International Symposium on Methodologies for Intelligent Systems, 471-480, 2017
52017
Clustering-based optimization method of reference set selection for improved CNV callers performance
W Ku¶mirek, A Szmur³o, M Wiewiórka, R Nowak, T Gambin
bioRxiv, 478313, 2018
22018
iGAP: Interactive Genomic Analysis Platform
A Szmur³o, M Wiewiórka, T Gambin
Photonics Applications in Astronomy, Communications, Industry, and High …, 2018
12018
Conference Report: Polish Academic R User Meeting
M Beresewicz, A Szabelska, J Zyprych-Walczak, £ Wawrowski
A peer-reviewed, open-access publication of the R Foundation for Statistical …, 2014
12014
Distributed algorithms and computational methods for scalable processing of high-throughput sequencing data
M Wiewiórka
The Institute of Computer Science, 2023
2023
Cloud-native distributed genomic pileup operations
M Wiewiórka, A Szmur³o, P Stankiewicz, T Gambin
Bioinformatics 39 (1), btac804, 2023
2023
SeQuiLa: an elastic, fast and scalable SQL-oriented platform for processing and analyzing genomic data
M Wiewiórka, A Szmur³o, M Okoniewski, T Gambin
The Institute of Computer Science, 2018
2018
ampliQueso: multiple sequencing of amplicons analyzed RNAseq style
A Szabelska, M Wiewiorka, M Okoniewski
2015
Analysis of AmpliSeq RNA-Sequencing Enrichment Panels
MS Wiewiorka, A Szabelska, MJ Okoniewski
Pattern Recognition and Machine Intelligence: 6th International Conference …, 2015
2015
Rapid prototyping of mobile applications and telecommunications services in Python language for Symbian S60 platfrom
M Wiewiórka
Instytut Telekomunikacji, 2009
2009
Acceleratinglarge-scalegenomicanalyses
A Szmur³o, M Wiewiórka, T Gambin
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Articles 1–19