Standardized & Reproducible
All pipelines are version-controlled and all comparative analyses are saved, enabling complete reproducibility between team members and studies.
Cosmos-Hub allows researchers to import their raw sequencing data directly into the platform and run a number of available bioinformatics pipelines for microbiome analysis.
Cosmos-Hub allows researchers to import their raw sequencing data directly into the platform and run a number of available bioinformatics pipelines for microbiome analysis.
In just a few easy steps, users can run industry-leading bioinformatics pipelines for a wide range of different data types:
In just a few easy steps, users can run industry-leading bioinformatics pipelines for a wide range of different data types:
All pipelines are version-controlled and all comparative analyses are saved, enabling complete reproducibility between team members and studies.
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.
Enables biologistics and bioinformaticians to collaborate on studies together and democratize data analysis amongst the entire lab team.
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!
Cosmos-Hub leverages AWS cybersecurity infrastructure to ensure data security and anonymity.
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.
Both platforms offer industry-leading tools for microbiome analysis, including support for 16S rRNA gene sequencing, metagenomics, functional analysis, and statistical analysis of microbial community structure.
While MicrobiomeAnalyst provides integration with public tools and a strong collection on statistical tools/visualizations with exporting options, Cosmos-Hub stands out with its support for taxonomic and functional profiling from raw data, sharable and version-controlled workflows, shotgun metagenomic profiling pipelines, and personalised databanking portal that helps you gain mechanistic insights and multi-omics integration across multiple studies
Feature | Cosmos-Hub | MicrobiomeAnalyst |
Taxonomic and Functional Profiling of Raw Data | ✅ | ❌ |
Performance Speed | ✅ | ❌ |
Professional Support | ✅ | ❌ |
Enterprise Security | ✅ | ❌ |
Team Collaboration | ✅ | ❌ |
Data Persistence | ✅ | ❌ |
MicrobiomeAnalyst is limited to 16S amplicon analysis only and cannot process shotgun metagenomic data. Cosmos-Hub provides complete raw data processing, strain-level resolution, permanent data storage, professional support, and enterprise security. For serious research requiring accurate, publication-ready results, the investment in Cosmos-Hub delivers significantly superior capabilities and outcomes.
While both the Cosmos-Hub and MicrobiomeAnalyst deliver pathway-focused functional profiling for 16S data via the PICRUST2 pipeline, only the Cosmos-Hub provides a number of functional annotation pipelines for gene and function within the web-based platform. This integration facilitates dynamic comparative analysis and data visualization for mechanistic insights into infectious diseases and microbial genomics.
The 2025 multi-omics update will empower Cosmos-Hub users to merge metabolomics data with microbiome datasets, streamlining multi-omics data analyses for both infectious diseases and the gut microbiome. Researchers will be able to perform cross-modality principal component analysis, uncover mechanistic insights into microbial genomes, and visualize multi-layered community composition and function—all through unified workflows.
Cosmos-Hub ensures reproducibility and secure collaboration with version-controlled, audit-ready workflows, centralized data storage, and unified dashboards, enabling transparent tracking of analysis methods. Teams can collectively evaluate data visualization, phylogenetic trees, and microbiome composition changes across microbial taxa, facilitating cross-sectional and longitudinal microbiome studies.
Contact us below and a member of the team will reach out to arrange a call to discuss your project.