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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo <t>D6322</t> dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.
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across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Journal: bioRxiv

Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads

doi: 10.64898/2026.04.20.719780

Figure Lengend Snippet: across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Article Snippet: The Zymo D6322 datasets were sequenced from the ZymoBIOMICS High Molecular Weight DNA Mock Microbial sample.

Techniques:

across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Journal: bioRxiv

Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads

doi: 10.64898/2026.04.20.719780

Figure Lengend Snippet: across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Article Snippet: Newly sequenced Zymo D6322 R10 data are available under BioProject PRJNA1240873.

Techniques:

across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Journal: bioRxiv

Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads

doi: 10.64898/2026.04.20.719780

Figure Lengend Snippet: across different datasets and taxonomic levels, presented as boxplots for precision, recall, and F1 score. Subfigure (a) shows species-level classification performance on the in-sample dataset, while subfigure (b) presents genus-level classification performance on the same dataset. Subfigure (c) illustrates genus-level classification performance on the out-of-sample dataset, and subfigure (d) depicts genus-level classification performance on the Zymo D6322 dataset. In each box plot, the median is represented by the central line, whiskers extend to 1.5 times the interquartile range (IQR), and points outside this range are considered outliers.

Article Snippet: The Zymo D6322 R9 dataset was previously sequenced by [ ].

Techniques: