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Standardized & Reproducible
All pipelines are version-controlled and all comparative analyses are saved, enabling complete reproducibility between team members and studies.
What is Cosmos-Hub?
Cosmos-Hub is a no-code, cloud based microbiome analysis platform with all the bioinformatics pipelines, storage infrastructure, statistical tools and visualizations you need to conduct your microbiome study.
Cosmos-Hub’s integrated platform lowers the barrier to entry for researchers without bioinformatics skills or specialized computational infrastructure to work on their data in a user-friendly way.
Get a full demo to learn about our software, then get started with a 14-day free trial to start unlocking the microbiome!
Book a Demo
Microbiome Profiling
Industry-leading bioinformatics pipelines thhat let you analyze different types of sequencing data for multiple applications.
Popular Features
- Import fastq's directly via UI or CLI
- Analysis of 16S, ITS & Shotgun data
- Short & long-read compatibility
Statistical Analysis
Comparative analysis workflows that leverage your study metadata to create virtual cohorts and analyze them with the latest statistical tools and visualizations.
Popular Features
- Interactive charts & visualizations
- Univariate statistics like LeFSe, Wlicoxon Rank-Sum & PERMANOVA
- Multivariate statistics like MaAsLin2 & MaAsLin3
Study & Data Management
A study dashboards that provides integrated storage of raw data, profiling data, and study metadata for secure and easy access.
Popular Features
- Easy-to-navigate dashboard
- Upload and edit metadata directly
- Single-sample reporting & visualization
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Cosmos-Hub Atlas
A curated database of over 40,000 microbiome samples, with metadata, that users can compare their samples against.
Popular Features
- Standardized profilings
- Curated metadata
- Results shared in 2-3 days
Artificial Intelligence
Cosmos-Hub's AI Co-Pilot, RITAi, supports the interpretation of results generated in the software by allowing researchers to make queries like when using their favorite GPT.
Popular Features
- Publication insights with complete references
- Species Wizard
- Support on how to use the Hub
Metabolomics Module (Coming Soon)
Cosmos-Hub is going multi-omics! In 2025, users will be able to import metabolomics data from any provider and conduct their analysis.
Popular Features
- Support for targeted and untargeted metabolomics
- Additional statistics and visualizations
- Multi-Omics Support
Integrated Data Management
Raw sequencing data, profiling results, and study metadata are seamlessly linked for easy retrieval and cross-analysis.
No-Code Platform
Enables biologistics and bioinformaticians to collaborate on studies together and democratize data analysis amongst the entire lab team.
No Specialized Infrastructure Required
Save costs on servers and specialized computers by leveraging Cosmos-Hub’s cloud infrastructure. All you need is an internet connection and Google Chrome. That’s it!
Superior Interpretation
By providing interactive charts & visualizations as well as an AI co-pilot named ‘RITA’, it’s never been easier to look at microbiome data in different ways and use the power of AI to help with interpretation and finding relevant references.
Publish Faster
Cosmos-Hub pipelines perform up to 19X faster than GitHub alternatives with comparative analyses generated in minutes, allowing you to go from fastq data to tangible insights in just a few hours.
“Cosmos-Hub is very user friendly and can rapidly generate informative and attractive figures from each dataset. We look forward to continuing to work with it in the future.”
Lydia Mapstone, PhD
Booby Biome
“We've been using Hub for our analysis needs and it allows for detailed analysis and has allowed us to answer important clinical questions.”
Jennifer Allegretti, MD, MPG
Brigham & Women’s Hospital
“The biggest difference Cosmos-Hub has made for me is the ease of data handling and versatility of tools available, including LEfSe and MaAsLin3, which significantly reduces the time required to do the analysis on my own.”
Nezar Al-Hebshi, PhD
Temple University
“Their user interface for data analysis is a great tool for teams that need bioinformatics and analytical support.”