Respiratory diseases pose a major burden to global public health. Distinct anatomical sites within the human respiratory tract harbor unique resident microbial communities, which play important roles in susceptibility, clinical progression, and outcomes of both infectious and non-infectious diseases. Here, we introduce ResMicroDb, a comprehensive database and analysis platform for the human respiratory microbiome. ResMicroDb integrates 106,464 samples from 489 publications and 514 projects, covering 10 sample sites and 146 phenotypes. Specifically, ResMicroDb provides the following data resources: (1) standardized microbiome profiles for all samples generated using a unified processing pipeline; (2) a total of 32 manually curated metadata factors; (3) distributions of 3,490 microbial taxa across different sample sites, phenotypes, countries, and age groups; (4) 11,908 microbe-disease associations identified from 132 case-control studies. In addition, ResMicroDb offers three online tools for further analysis: (1) Microbiome Composition: generates microbiome profiles for selected samples. (2) Sample Similarity Search: finds the most similar samples in the database to a user-provided query. (3) Cross-study Analysis: explores both shared and unique microbial characteristics across cohorts, diseases, and sample sites. Overall, this comprehensive database, along with its integrated analysis tools, will serve as a versatile and valuable resource for advancing research across a broad spectrum of respiratory microbiome studies.
Data Overview
3,490
Taxa
146
Phenotypes
11,908
Associations
106,464
Samples
514
Projects
489
Publications
Featured Functions
Microbiome Composition
Provides microbiome profiling for selected samples.
Sample Similarity Search
Identifies the most similar samples in database to a query.
Cross-study Analysis
Explores microbial characteristics across studies.
Latest News
ResMicroDb version 1.0 was online. (2025/06/23)
106,464 samples from 514 projects related to human respiratory microbiome have been added. (2025/06/23)
Citation and Contact
Users can cite the database as: "ResMicroDb: A Comprehensive Database and Analysis Platform for the Human Respiratory Microbiome".
If you have any questions or comments, please feel free to contact us at limk@cncb.ac.cn