What question did this study set out to answer?

To introduce and evaluate metaIVP, a modular metagenomic framework designed to separate, purify, and characterize viral and non-viral genomic components with high reproducibility.

August 15, 2026BMC MethodsOpen Access

metaIVP: an integrative metavirome focused metagenomic processing pipeline

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Authors

KSKalyan Sahu QYQiuming Yao

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Overview

Bioinformatic pipeline evaluation demonstrates enhanced recovery and purity of viral genomes in metagenomic datasets, indicating improved reproducibility and error tracing.

Key Points

To introduce and evaluate metaIVP, a modular metagenomic framework designed to separate, purify, and characterize viral and non-viral genomic components with high reproducibility.
Built a hierarchical architecture featuring contig- and bin-level purification modules, dedicated viral workflows (contamination detection, host prediction, viral binning), and non-viral analytical modules.
Implemented state-controlling log files and explicit checkpoints to enable selective re-execution of individual pipeline steps without rerunning entire analyses.
Benchmarked pipeline performance using a controlled human gut virome dataset and a geographically structured environmental metavirome dataset.
The pipeline effectively isolated viral from non-viral sequences, enhanced viral bin purity, and retained sample-specific functional and host-association profiles.
metaIVP demonstrated performance comparable to current state-of-the-art methods while yielding a higher proportion of high-confidence viral bins, particularly when utilizing optional vRhyme re-binning.

Cite This Study

Sahu et al. (2026) studied this question.

synapsesocial.com/papers/6a8019bb75c2e31742c85de7 https://doi.org/10.1186/s44330-026-00090-7

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August 15, 2026BMC MethodsOpen Access

metaIVP: an integrative metavirome focused metagenomic processing pipeline

View Full Paper

Ask AI

Bookmark

Authors

KSKalyan Sahu QYQiuming Yao

Discussion

Member takes

Overview

Bioinformatic pipeline evaluation demonstrates enhanced recovery and purity of viral genomes in metagenomic datasets, indicating improved reproducibility and error tracing.

Key Points

To introduce and evaluate metaIVP, a modular metagenomic framework designed to separate, purify, and characterize viral and non-viral genomic components with high reproducibility.
Built a hierarchical architecture featuring contig- and bin-level purification modules, dedicated viral workflows (contamination detection, host prediction, viral binning), and non-viral analytical modules.
Implemented state-controlling log files and explicit checkpoints to enable selective re-execution of individual pipeline steps without rerunning entire analyses.
Benchmarked pipeline performance using a controlled human gut virome dataset and a geographically structured environmental metavirome dataset.
The pipeline effectively isolated viral from non-viral sequences, enhanced viral bin purity, and retained sample-specific functional and host-association profiles.
metaIVP demonstrated performance comparable to current state-of-the-art methods while yielding a higher proportion of high-confidence viral bins, particularly when utilizing optional vRhyme re-binning.

Cite This Study

Sahu et al. (2026) studied this question.

synapsesocial.com/papers/6a8019bb75c2e31742c85de7 https://doi.org/10.1186/s44330-026-00090-7

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