ArticleProceedings of the National Academy of Sciences of the United States of America2025
Quantifying compositional variability in microbial communities with FAVA.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Common xenobiotics modulate gut microbial responses to low‑calorie sweeteners in vitro.Molecular systems biology · 2026Article
- Aging of the adaptive immune system affects the gut microbiome and systemic levels of vitamin B6.Microbiome · 2026Article
- LLM-Assessed Relatedness of Microbiome Study Descriptions Aligns more Strongly with Functional than with Taxonomic Profile Similarity.Microbial ecology · 2026Article
- Manure substitution counteracts mineral nitrogen-driven erosion of theISME communications · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Microbial communities vary across space, time, and individual hosts, generating a need for statistical methods capable of quantifying variability across multiple microbiome samples at once. To understand heterogeneity across microbiome samples from different host individuals, sampling times, spatial locations, or experimental replicates, we present FAVA (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.