SKiM: Accurately Classifying Metagenomic ONT Reads in Limited Memory

Authors

Jarosław Żola (ORCID: https://orcid.org/0000-0002-1686-9697)
Trevor Schneggenburger

Institutions

University at Buffalo, State University of New York (US)

Publication Details

Journal: Bioinformatics
Published: 2025-09-24
DOI: https://doi.org/10.1093/bioinformatics/btaf537
Primary Topic: Genomics and Phylogenetic Studies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Science Foundation

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article

SKiM: Accurately Classifying Metagenomic ONT Reads in Limited Memory

Jarosław Żola, Trevor Schneggenburger

Sep 24, 2025

Bioinformatics

Genomics and Phylogenetic Studies

article

SKiM: Accurately Classifying Metagenomic ONT Reads in Limited Memory

Jarosław Żola, Trevor Schneggenburger

September 24, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

University at Buffalo, State University of New York (US)

National Science Foundation

Openalex Percentile: Top 77%

Genomics and Phylogenetic Studies

DOI Open Access PDF OpenAlex

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SKiM: Accurately Classifying Metagenomic ONT Reads in Limited Memory — Jarosław Żola, Trevor Schneggenburger · Bioinformatics (2025) | TGRS Research Map | TGRS