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Agnieszka Szmurło
Agnieszka Szmurło
Verified email at ii.pw.edu.pl - Homepage
Title
Cited by
Cited by
Year
Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performance
W Kuśmirek, A Szmurło, M Wiewiórka, R Nowak, T Gambin
BMC bioinformatics 20, 1-10, 2019
182019
SeQuiLa: an elastic, fast and scalable SQL-oriented solution for processing and querying genomic intervals
M Wiewiórka, A Leśniewska, A Szmurło, K Stępień, M Borowiak, ...
Bioinformatics 35 (12), 2156-2158, 2019
82019
SeQuiLa-cov: A fast and scalable library for depth of coverage calculations
M Wiewiórka, A Szmurło, W Kuśmirek, T Gambin
GigaScience 8 (8), giz094, 2019
52019
Clustering-based optimization method of reference set selection for improved CNV callers performance
W Kuśmirek, A Szmurło, M Wiewiórka, R Nowak, T Gambin
bioRxiv, 478313, 2018
22018
iGAP: Interactive Genomic Analysis Platform
A Szmurło, M Wiewiórka, T Gambin
Photonics Applications in Astronomy, Communications, Industry, and High …, 2018
12018
Cloud-native distributed genomic pileup operations
M Wiewiórka, A Szmurło, P Stankiewicz, T Gambin
Bioinformatics 39 (1), btac804, 2023
2023
Scalable genomic data analysis
A Szmurło
The Institute of Computer Science, 2019
2019
SeQuiLa: an elastic, fast and scalable SQL-oriented platform for processing and analyzing genomic data
M Wiewiórka, A Szmurło, M Okoniewski, T Gambin
The Institute of Computer Science, 2018
2018
Acceleratinglarge-scalegenomicanalyses
A Szmurło, M Wiewiórka, T Gambin
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Articles 1–9