Author

Jarosław Żola

University at Buffalo, State University of New YorkORCID 0000-0002-1686-9697Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:database / resource· 1

Frequent Co-Authors

Ahmet Erdem SarıyüceiD· 1 shared Trevor SchneggenburgeriD· 1 shared Vicky ZhengiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Ahmet Erdem SarıyüceORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedSep 24, 2025

SKiM: Accurately Classifying Metagenomic ONT Reads in Limited Memory

Trevor Schneggenburger, Jarosław Żola

SKiM is a lightweight metagenomic classifier for Oxford Nanopore reads that uses compressed k-mer data and statistical testing to achieve high accuracy with low memory usage.

1 citation

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 21, 2020

Identifying Taxonomic Units in Metagenomic DNA Streams

Vicky Zheng, Ahmet Erdem Sarıyüce, Jarosław Żola

The paper introduces a memory-efficient method for identifying OTUs in real-time metagenomic DNA streams using overlap graphs and transitive closures.

1 citation

metagenomicsstatistical model

𝕏 PostBluesky