Microbiome Profiling

Streamline Microbiome Profiling with Cosmos-Hub

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.

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No-Code Omics Analysis for Wet Lab Biologists

From your bench to your publication, without writing a single line of code. 

Cosmos-Hub 2.0 gives wet lab biologists a direct path from raw omics data to publication-ready insights. No bioinformatics queue. No coding. No waiting. Trusted by research scientists at leading biotech and pharmaceutical organizations across the US.
 
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SOUND FAMILIAR?


”I have the data, but I need to wait three weeks for the bioinformatics team to run the analysis.”
”Every time I need a figure adjusted, I have to submit another request and start the queue again.”
”I can't iterate on my own hypotheses. I'm dependent on people who are already stretched thin.”

Cosmos-Hub 2.0 was built to change this.

Microbiome Profiling

Streamline Microbiome Profiling with Cosmos-Hub

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.
Microbiome Profiling
 

In just a few easy steps, users can run industry-leading bioinformatics pipelines for a wide range of different data types:

  • Import data from their computer, from Illumina BaseSpace, directly from NCBI SRA or via Command Line Import (CLI).
  • Select the type of data they’d like to import: Shotgun, 16S or ITS
  • Select from 1 of 9 different host genomes to run automated host read depletion
  • Upload your study metadata
  • Choose your pipeline and primers
 

In just a few easy steps, users can run industry-leading bioinformatics pipelines for a wide range of different data types:

  • Import data from their computer, from Illumina BaseSpace, directly from NCBI SRA or via Command Line Import (CLI).
  • Select the type of data they’d like to import: Shotgun, 16S or ITS
  • Select from 1 of 9 different host genomes to run automated host read depletion
  • Upload your study metadata
  • Choose your pipeline and primers
Microbiome Profiling

ANALYTICAL INDEPENDENCE, BUILT FOR BIOLOGISTS

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1. Run your own analyses

Cosmos-Hub 2.0's intuitive no-code workflows let you run exploratory and statistical analyses directly from your experimental data, without submitting a request, writing a script, or waiting on anyone. Move at the speed of your science.

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2. Generate publication-ready outputs

Go from data to journal-quality visualizations in the platform. Figures are formatted, exportable and reproducible. No more pasting rough outputs into PowerPoint and apologizing for them.

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3. Collaborate on shared studies

Work alongside colleagues on shared datasets, analyses, and findings. Every analysis is reproducible and documented. No emailing files. No "which version is this?"

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4. Iterate on your own hypotheses

Adjust parameters, test conditions, and explore alternative interpretations independently. Your questions, your timeline, your decisions. Cosmos-Hub 2.0 gives you the scientific autonomy you should have had all along.

WHAT CHANGES WITH COSMOS-HUB 2.0?
 
 
Traditional Omics Analyses With Cosmos-Hub 2.0
Studies are one-time events. Findings stored in files and reports that nobody revisits. Every study becomes a documented, searchable, reusable organizational asset.
Data reuse requires tracking down the original analyst and hoping the code still runs. Historical data is discoverable and reusable without manual effort or archaeological digs through shared drives.
Bioinformatics is a bottleneck. Scientists wait. Discovery cycle times suffer. Scientists analyse independently using verified frameworks. Bottlenecks dissolve. Cycle times shorten.
Institutional knowledge lives in people's heads and leaves with them. Every analysis is centralized, documented, and retained regardless of team changes or restructures.
Analytical quality varies by team, tool, and individual. Results are not always comparable. All analyses run on standardized, version-controlled frameworks. Quality is consistent and auditable across the organization.

 

How it works

From experiment to insight in four steps

Step 1: Securely upload or connect your omics data.

Supports standard formats, including metagenomics, metatranscriptomics, metabolomics, and proteomics data.

 

Step 2: Select and run a workflow

Choose from a library of expert-built, Cmbio-verified analysis frameworks. No configuration. No code. No waiting on a queue.

Step 3: Explore your results

Interactive visualizations let you interrogate your data, refine parameters, and test new questions directly in the platform.

Step 4: Export publication-ready outputs

Figures, tables and summary reports formatted for publications, presentations and grant applications. Shareable and reproducible every time.

Key feature for wet labs

Point and click, no scripting or UNIX skills required.
Statistical analysis library: standard and advanced omics analyses pre-configured by experts, including PCA,  Mann-Whitney test, Kruskall-Wallis test, Wilcoxon rank sum test, MaAsLin3, diversity analysis, Machine learning modeling, Longitudinal analysis and multivariate statistics.

Volcano plots, heatmaps, PCA, tSNE, UMAP, , heatmaps,  stacked bar charts and more, export-ready at journal standard

Experiment with statistical parameters and visualizations through an intuitive interface without writing code

Every analysis documented, versioned and shareable across your team

Share studies, datasets and findings with colleagues using granular permissions and version control

Metagenomics, metatranscriptomics, metabolomics, proteomics and custom feature tables from one platform.

AWS-backed, SSO, MFA, GDPR-aligned permissions, Attribute-based access control (ABAC) and full provenance tracking

TRUSTED GLOBALLY BY RESEARCH SCIENTISTS

1,000+

users worldwide

30+

countries

600K

samples profiled

170k

analyses completed

“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 AI-Hebshi, PhD, Temple University

Cosmos-Hub agnostically supports data generated by all sequencing technologies
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SEE COSMOS-HUB 2.0 IN ACTION, BUILT FOR YOUR WORKFLOW

 Book a personalised 30-minute demo and see exactly how your team would use Cosmos-Hub 2.0 for your specific omics data. No commitment. No setup required.

Frequently Asked Questions