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Microbiomeā€“Disease Cross-domain Projection

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ā† Overview
Disease ExplorerCross-domain ProjectionSimilarity ExplorerPersonal Projection

Personal Projection

Upload your microbiome data and see how it aligns with the MINERVA literature knowledge graph.

Upload an abundance CSV (rows = samples, columns = genus TaxIDs). Choose the source database whose profiling method matches your data. Its healthy controls define the reference range. Enter a study identifier so that an overlapping study can be excluded. MINERVA will classify each genus as High, Low, or Neutral relative to healthy controls, then show signed literature contributions based on published findings.
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This tool is designed for shotgun metagenomics data processed at the genus level (e.g. MetaPhlAn4, MetaPhlAn3, or Centrifuge). 16S rRNA amplicon data or species-level profiles are not supported. Abundance values should be in relative abundance % (MetaPhlAn output) or fraction (0ā€“1).

Click to select CSVā€¦

Choose the source database whose profiling method matches your data. Its healthy controls define the reference range.

If provided, matching healthy-control samples from that study are excluded from the reference set.