Standardized & Reproducible
All pipelines are version-controlled to ensure standardization across your studies and between your team.
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:
You’ve put significant effort into collecting your microbiome samples—be it saliva, stool, skin swabs, environmental swabs, wastewater, or other sample types. Once nucleic acids are extracted, libraries prepared, and sequencing complete, accurate profiling becomes the critical step in translating raw reads into meaningful biological insights.
Your choice of computational methods and bioinformatics pipelines directly shapes how microbial communities are classified, compared, and functionally annotated. Cosmos-Hub ensures reproducible, high-quality results that enable discoveries across clinical, research, and environmental domains.
The Cosmos-Hub team have built and curated microbial genomics pipelines optimised for various sequencing technologies, so you can make the most of your data!
All pipelines are version-controlled to ensure standardization across your studies and between your team.
Run any pipeline without coding skills. All pipelines have been made available to run in a series of simple steps.
In addition to running your pipeline of choice, make sure your sequencing run was successful by running FastQC on your samples.
Don’t fill up your local storage by simply importing directly from Illumina BaseSpace or NCBI SRA.
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 pipelines perform up to 19X faster than alternatives, allowing you to go from raw data to profiles in a matter of a few hours.
Feature | Profiling Function |
Industry-Leading Pipelines | Access CHAMP™, Kepler™, EMU, DADA2, and Functional 2.0 for state-of-the-art taxonomic and functional profiling. |
Wide Data Compatibility | Supports analysis of shotgun and amplicon sequencing data targeting the 16S rRNA gene, ITS and 18S for fungal community profiling, using both short and long-read sequencing—enabling profiling across microbial taxa including bacteria, fungi, archaea, viruses, and protists within human and non-human microbiomes and environmental samples. |
Accurate & Fast Results | In-house developed algorithmic advances and curated reference databases deliver high recall, low false positives, and rapid analysis of microbiome composition, beta diversity, and microbial abundances, critical for microbiota studies. |
Comprehensive Functional Insights | Annotates microbial pathways and metabolic pathways (e.g., Gut-Brain, Gut-Metabolic Modules, KEGG, MetaCyc, GO Terms and many more), linking identified microbial taxa to specific gene families and biological functions within the microbiome |
AMR & Virulence Detection | Enables direct detection of antibiotic resistance genes and virulence factors from raw sequencing reads, using marker gene and genome-resolved approaches—vital for understanding microbiome interactions and potential human health risks as well as spread of resistance throughout the environment. |
Targeted & Untargeted Profiling | Combines community profiling tools (DADA2 for 16S amplicon data, QIIME for ITS profiling, Emu for long-read and whole-community shotgun sequencing) to capture both targeted sub-communities and the full spectrum of microbial species, including rare bacterial species and strains in rare and exotic sample types. |
Standardized & Reproducible | Version-controlled workflows allow users to re-run, review, and compare statistical analyses and further analysis across dataset versions, ensuring robust scientific and clinical research outcomes. |
Flexible & Scalable | Cloud-based infrastructure processes anything from small microbiome projects to large-scale studies (thousands of samples) with quick turnaround. |
User-Friendly & No-Code | Accessible web interface for microbiome data analysis; requires no bioinformatics expertise or coding, making it usable by clinicians and researchers alike. |
Best-in-Class Taxonomic and Functional Profiling for Human Microbiome Studies
CHAMP™ is a state-of-the-art, published pipeline built on over 400,000 metagenome-assembled genomes (MAGs) from more than 30,000 human microbiome samples across nine body sites.
It delivers unmatched species-level resolution of bacteria, archaea, eukaryotes, and phages with 16% higher recall and 400x lower false positive rate than other leading tools.
Moreover, CHAMP™ integrates functional annotation via Gut-Brain Modules (GBMs), Gut-Metabolic Modules (GMMs), and KEGG pathways. This pipeline has empowered published research on microbiome-linked health outcomes, probiotics, and population-scale microbiome studies.
To learn more, download the whitepaper here: http://www.cosmos-hub.com/content-library
Comprehensive metagenomics for planetary microbiomes beyond humans
Kepler™ combines exact k-mer matching with probabilistic alignment to generate microbiome profiles for bacteria, fungi, viruses & protists from shotgun data.
Kepler™ allows researchers to understand the nearest neighboring reference genome in the database at sub-species level. Its meticulously curated database, GenBook™, and patented algorithm efficiently identify taxa, even in low-biomass or host-contaminated samples.
Benchmarking studies highlight Kepler™’s superior sensitivity, accuracy, and speed compared to Kraken, MetaPhlAn4, and other standard tools, making it ideal for microbiome discovery across clinical, agricultural, and environmental domains.
Comprehensive Microbiome Function Mapping via Multi-Database Annotation
Cosmos-Hub offers Kepler™ in combination with a host-agnostic functional pipeline, Functional 2.0, which interrogates shotgun metagenomic and metatranscriptomic data to understand metabolic and biochemical potential by annotating translated reads with numerous functional databases:
Abundance normalization (copies per million) ensures comparability across samples with variable depth. With intuitive visualizations and extensive feature descriptions, Functional 2.0 enables users to explore microbial gene function, pathway information, and environmental or health associations with clarity.
To learn more, download the whitepaper here: http://www.cosmos-hub.com/content-library
Comprehensive Microbiome Function Mapping via Multi-Database Annotation
Cosmos-Hub offers a host-agnostic functional pipeline, Functional 2.0, which interrogates shotgun metagenomic and metatranscriptomic data to understand metabolic and biochemical potential by annotating translated reads with numerous functional databases:
Abundance normalization (copies per million) ensures comparability across samples with variable depth. With intuitive visualizations and extensive feature descriptions, Functional 2.0 enables users to explore microbial gene function, pathway information, and environmental or health associations with clarity.
Using an in-house algorithm, Functional 2.0 leverages the ever-popular HUMAnN3 framework, but delivering results 19X faster.
Comprehensive metagenomics for planetary microbiomes beyond humans
Functional 2.0 is offered in combination with Kepler™ which combines exact k-mer matching with probabilistic alignment to generate microbiome profiles for bacteria, fungi, viruses & protists from shotgun data.
Kepler™ allows researchers to understand the nearest neighboring reference genome in the database at sub-species level. Its meticulously curated database, GenBook™, and patented algorithm efficiently identify taxa, even in low-biomass or host-contaminated samples.
Benchmarking studies highlight Kepler™'s superior sensitivity, accuracy, and speed compared to KRAKEN, MetaPhlAn4, and other standard tools, making it ideal for microbiome discovery across clinical, agricultural, and environmental domains.
To learn more, download the whitepaper here: http://www.cosmos-hub.com/content-library
Powered by the Kepler™ infrastructure, this pipeline uses curated k-mer biomarkers from ResFinder and VFDB to detect antimicrobial resistance (AMR) genes and virulence factors (VFs) directly from raw reads without genome assembly. Its biomarker-based scoring and hierarchical classification enable accurate quantification across classes and genes.
This pipeline is ideal for AMR surveillance, diagnostic microbiology, and functional microbial profiling.
To learn more, download the whitepaper here: http://www.cosmos-hub.com/content-library
Targeted Microbial and Fungal Profiling for Bacteria and Eukaryotes
Our amplicon sequencing workflows provide high-resolution taxonomic profiling of microbial communities using targeted regions—16S rRNA for bacteria and archaea, and ITS for fungi.
The short-read 16S pipeline utilizes the DADA2 algorithm for denoising and ASV inference, ensuring genus resolution of bacterial taxa. Taxonomy is assigned using the SILVA database, and community-level functional potential via Metacyc Pathways and Enzyme Commissions is inferred with PICRUSt2.
To learn more about DADA2, see the publication here: https://www.nature.com/articles/nmeth.3869
The short-read ITS pipeline is optimized for fungal community profiling, leveraging the QIIME framework along with the UNITE database for closed-reference OTU picking. It processes reads through trimming and merging, outputting tables of OTU IDs, frequencies, and relative abundances.
To learn more, see the publications below:
Emu is a growingly popular tool designed specifically for long-read amplicon data generated by Oxford Nanopore Technologies or Pacific Biosciences instrumentation. It uses probabilistic alignment and relevant references to classify full-length amplicon reads reliably at species-level accuracy, overcoming the resolution and bias limitations of short-read amplicon sequencing approaches.
The Cosmos-Hub iteration of Emu is built with flexibility in mind, allowing users to analyze 16S, ITS, 18S or full 16S-18S-23S full operon data. Additionally, many databases have been implemented to allow users to tailor their analysis to their sample type and study questions:
Emu has many practical applications including clinical microbiology, environmental & industrial use and is particularly effective with low biomass human microbiome such as breast milk & tissue biopsies, for example.
To learn more about Emu, you can read the publication here: https://pmc.ncbi.nlm.nih.gov/articles/PMC9939874/
The platform uses advanced bioinformatics tools like CHAMP and accompanying downstream statistical analysis tools like community profiles overview LEfSe, Alpha & Beta Diversity and advanced tools like MaAsLin to identify differentially abundant microbial taxa across cohort, quantify relative abundance, and map microbial community structure in the gut microbiome before determining differences between cohorts of interest. This enables researchers to study interactions between the gut microbiota and the wider environment.
Yes, the platform supports high-throughput analysis, facilitating comparative and longitudinal studies. By having samples run through the same version of their chosen pipeline, users can conduct larger scale meta-analyses which incorporate samples from multiple projects or from a single large-cohort study as in the Human Microbiome Project, for example. This enables the robust evaluation of microbial ecology and microbiota across diverse cohorts, advancing understanding in microbiome research.
Contact us below and a member of the team will reach out to arrange a call to discuss your project.