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BugSigDB — a database for identifying unusual abundance patterns in human microbiome studies

BugSigDB is a community-editable wiki that harmonizes how key microbial differential abundance methods and results are reported, identifying rare and common patterns across the literature of published host-associated microbiome studies.

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Fig. 1: Geography and health outcomes of BugSigDB.

References

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This is a summary of: Geistlinger, L. et al. BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-01872-y (2023).

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BugSigDB — a database for identifying unusual abundance patterns in human microbiome studies. Nat Biotechnol (2023). https://doi.org/10.1038/s41587-023-01930-5

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