ArticleiMetaOmics2024
FoodMicroDB: A microbiome database for composition and time-series research in food.
Article in iMetaOmics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed.
- Advances in Salt Reduction in Salt-Dependent Traditional Fermented Foods: From Microecological Responses to Flavor and Safety Control.Comprehensive reviews in food science and food safety · 2026Review
- Wekemo Bioincloud 2026: An AI-enabled platform for standardized multi-omics data analyses.iMeta · 2026Article
- Beyond omics: From descriptive profiling to causal and scalable design of fermentation microbiomes.iMeta · 2026Article
- Time-series dynamics and biocontrol potential of postharvest bacteria in litchi microbiota.Science China. Life sciences · 2026Article
- Review
- Calibrating tetranucleotide-frequency distances for metagenomic binning with right-skewed distribution models.Bioinformatics advances · 2026Article
- Article
- MicrobiomeStatPlots: Microbiome statistics plotting gallery for meta-omics and bioinformatics.iMeta · 2025Article
- Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microorganisms are crucial for food fermentation, preservation, and safety, directly impacting human health. The number of studies on the food microbiome has surged recently, along with a substantial increase in data. However, there is a notable lack of databases specialized for this field. To address this gap, we developed Food Microbiome Database (FoodMicroDB), a platform aimed at enhancing the reusability and accessibility of food microbiome data through comprehensive data management and data visualization tools. FoodMicroDB aggregates 6358 amplicon data from 108 meta-taxonomic projects covering 62 foods, and harbors 4710 taxa of bacteria, archaea, and fungi. The collected data were consistently analyzed and curated, then visualized using versatile utilities, including unique tools for visualizing microbial composition and time-series microbiome data. It also includes advanced modules for microbial abundance analysis, cross-host abundance comparison, and cross-food analysis. FoodMicroDB will be a valuable resource platform for the food microbiome research field. The database is freely accessible at: https://www.bic.ac.cn/FoodMicro/.
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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.