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An integrated ecosystem for virome analysis

Seamlessly transition from raw metagenomic sequencing data to publication-ready ecological insights without writing a single line of code.

MetaViralyst Ecosystem Flowchart from Pipeline to Explorer

The MetaViralyst ecosystem enables seamless, reproducible virome analysis. Process raw sequencing reads through the robust Snakemake pipeline, and integrate the resulting matrices directly into the interactive Streamlit Explorer for real-time ecological insights.

Automated Discovery Pipeline

A robust Snakemake workflow taking raw reads through stringent quality control, de novo assembly, and dual-layer taxonomic verification.

Interactive Explorer

A code-free Streamlit app to explore composition, analyze diversity, and instantly perform differential abundance testing.

Rigorous Reproducibility

An entirely open-source approach built on robust Conda environments, Docker containers, and version-controlled public databases.

The Ecosystem Architecture

Two powerful components working seamlessly together to accelerate your research.

MetaViralyst Pipeline Logo

The Snakemake Pipeline

A robust, automated backend workflow for viral metagenomics. Handles quality control, host decontamination, de novo assembly, viral identification via geNomad, and high-resolution taxonomic annotation.

View Pipeline Repository
MetaViralyst Explorer Logo

The Interactive Explorer

A code-free Streamlit frontend application. Ingests pipeline outputs to let you interactively explore taxonomic composition, calculate alpha/beta diversity, and perform differential abundance statistical testing.

View Explorer Repository

Cite MetaViralyst

The MetaViralyst manuscript is currently under review. If you use the pipeline or the Explorer application in your research, please cite our repository via Zenodo:

"MetaViralyst: An integrated ecosystem for reproducible end-to-end virome analysis and interactive exploration". Zenodo, DOI: [Zenodo DOI TBA]

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