MIC / 010 · Microbiome

Microbiome & Metagenomics Profiler

Interactive comparison of taxonomic abundance and ecological diversity across microbiome research cohorts.

SCIENTIFIC PURPOSE

Helps microbiome teams communicate composition, alpha diversity and beta-diversity patterns in supported result tables.

Who it helps

  • Microbiome researchers
  • Ecology teams
  • Gut-microbiome studies
  • Bioinformatics students

Supported inputs

  • Taxa abundance table
  • Alpha-diversity table
  • PCoA coordinates
  • Sample-group metadata

Useful outputs

  • Relative-abundance chart
  • Alpha-diversity comparison
  • 3D PCoA
  • Cohort-oriented export

PROJECT INTELLIGENCE

A structured view of
scope and evidence.

These figures describe the documented public surface—not biological performance, clinical validity or benchmark superiority.

Supported input types4
Defined output types4
Workflow stages5
Methods represented4
Published interface views7
Documented limitations3
MIC / 010Working demonstration
Relative abundanceShannon diversityBeta diversityPCoA visualisation

DATA CONTRACT

What enters, what happens,
what leaves.

01 / INPUT

Taxa abundance table

Alpha-diversity table

PCoA coordinates

Sample-group metadata

02 / ANALYSIS

01Load supported result tables

02Validate samples and groups

03Inspect taxonomic composition

04Compare diversity

05Export selected research figures

03 / OUTPUT

Relative-abundance chart

Alpha-diversity comparison

3D PCoA

Cohort-oriented export

EVIDENCE & INTERPRETATION MATRIX

How to use the project responsibly.

DimensionPublic evidenceInterpretation boundary
Interface7 documented viewsScreenshots demonstrate interaction patterns, not scientific validation.
MethodsRelative abundance · Shannon diversity · Beta diversity · PCoA visualisationMethod presence does not establish suitability for every dataset.
ReproducibilityDefined inputs, stages and outputsVersions, parameters and data provenance must accompany a real analysis.
Scientific useResearch exploration and communicationNo medical, diagnostic or treatment conclusion is produced.

BEFORE INTERPRETATION

01

Confirm file format and reference conventions

02

Record tool, database and dataset versions

03

Inspect missing values, outliers and sample labels

04

Review assumptions behind each selected method

05

Keep exported figures linked to their source data

06

Request domain-expert review for consequential claims

TYPICAL RESEARCH FLOW

  1. 01

    Load supported result tables

  2. 02

    Validate samples and groups

  3. 03

    Inspect taxonomic composition

  4. 04

    Compare diversity

  5. 05

    Export selected research figures

METHODS REPRESENTED

Relative abundanceShannon diversityBeta diversityPCoA visualisation

KNOWN LIMITATIONS

  • Does not replace raw-read preprocessing
  • Associations do not establish causality
  • Compositional data require appropriate statistical treatment

USEFUL QUESTIONS

Before using the output.

Does a diversity difference prove dysbiosis?

No. Diversity measures require study-specific context, statistical testing and careful interpretation.

Which inputs are expected?

Prepared taxonomic abundance, alpha-diversity and PCoA result tables with consistent sample identifiers.