Human Microbiome
Cosmos-Hub is the industry-leading commercial research platform for microbiome science, providing the global research community with powerful, easy-to-access infrastructure for studies across human, animal, and environmental systems. We support scientists in both academia and industry as they advance understanding of the microbiome’s role in health, disease, and ecosystem function.
We recognise that microbial communities influence a vast range of biological processes — from human and animal physiology to soil health, aquaculture, and environmental sustainability. That’s why Cosmos-Hub delivers advanced analysis tools designed to help researchers interpret complex microbiome data with ease, uncover meaningful patterns, and generate insights that drive discovery across disciplines.
Cosmos-Hub is the industry-leading commercial platform for microbiome research, providing scientists worldwide with easy-to-access infrastructure in both industry and academia. We believe that because the microbiome is implicated in so many different research areas, it’s critical that biologists are able to access data analytics tools that enable them to interpret their data in a user-friendly manner.
In addition to the wider team at Cmbio, behind Cosmos-Hub, is a dedicated, multi-disciplinary community of software engineers and industry experts bringing together their knowledge of bioinformatics, data processing, analysis, development, chemistry, statistics, software and microbiology to study microbes and microorganisms such as bacteria, fungi, viruses, and the broader microbiota and microbiome, working together to build the -omics software of tomorrow that supports further research and innovative strategies:
President & CCO
VP Engineering
VP Business Development - Microbiome Software
Product Lead - Microbiome Software
Field Applications Scientist - Microbiome Software
Bioinformatics Scientist - Microbiome Software
Cosmos-Hub boasts a wide range of different bioinformatics pipelines and statistical analysis tools to enable the generation and interrogation of microbiome data from across the human and animal body and wider environment, supporting everything from analysis of next generation sequencing data as well as a suite of downstream analysis tools and visualizations.
These workflows help scientists test hypotheses, identify links between microbes living in complex communities and host metabolism, health, risk of disease in patients, and to developing new diagnosis and therapy strategies informed by datasets of microbiome data, metabolites, and microbiome diversity generated in both university and industry research study settings.
Cosmos-Hub allows researchers to create virtual cohorts for microbiome analysis using their study metadata. Simply upload any categorical or continuous metadata from your study via the software’s standard template and create virtual cohorts to compare against each other.
Since 2017, the Cosmos-Hub platform has developed from humble beginnings to be the leading microbiome software platform, actively used by industry and academia around the world used for a wide range of applications:
Contact us below and a member of the team will reach out to arrange a call to discuss your project.
Industry-leading bioinformatics pipelines thhat let you analyze different types of sequencing data for multiple applications.
Comparative analysis workflows that leverage your study metadata to create virtual cohorts and analyze them with the latest statistical tools and visualizations.
A study dashboards that provides integrated storage of raw data, profiling data, and study metadata for secure and easy access.
A curated database of over 40,000 microbiome samples, with metadata, that users can compare their samples against.
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.
Cosmos-Hub is going multi-omics! In 2025, users will be able to import metabolomics data from any provider and conduct their analysis.