VAMS ATLAS™

How VAMS ATLAS™ works.

A clear view of how sequencing-derived information becomes explainable, layered intelligence — with visible confidence language and traceable structure.

See a Sample Report Scores, Panels & Packs

Sequencing input layerReference-supported interpretationReadable scores, panels & packsConfidence gates throughoutVisible data lineageEducational & non-diagnostic

Supported inputs

What ATLAS can read

Availability of any given output reflects the sequencing route and report type you choose.

16S rRNA amplicon	Community-level composition and diversity — foundation-level reading.
Shotgun metagenomics	Species-level structure and functional-potential context.
Metatranscriptomics	Expression-context signals where sample quality supports it.
Existing sequencing data	Processed tables or FASTQ can be discussed, subject to QC and method fit.

Quality & eligibility checks

What is checked before anything is read

Sample integrity and intake review

Extraction and run-level QC

Batch and contamination awareness

Method-and-report compatibility for each output

Low-quality data is identified rather than hidden

Feature derivation

From reads to comparable features

Quality-checked sequencing data is turned into reproducible, comparable features — feature tables, taxonomy and diversity summaries — using versioned, documented pipelines so results stay comparable across runs and cohorts.

✓Reproducible feature and taxonomy tables
✓Diversity summaries appropriate to the method
✓Versioned pipelines keep analyses comparable
✓Reference context supports interpretation

Score computation overview

How a signal becomes a readable score

Each microbiome signal area is summarised into a comparative, plain-language score paired with a confidence cue. The internal weighting and computation are proprietary and are not exposed publicly; what is shown is the readable meaning and its confidence, not the formula.

✓Comparative, plain-language scores
✓Every score carries a confidence cue
✓Internal weighting kept private
✓Scores are the readable entry point — not raw abundance

Panel organisation

How related scores are grouped

Related scores group into panels

Panels connect isolated signals into grouped interpretation

Panels can feed broader themed insight packs

Availability reflects product and sequencing route

Evidence & confidence gates

Guardrails are part of how the system works

Each reading is paired with confidence framing and method-aware limits so interpretation stays grounded and proportionate.

Confidence cue on every output Method-aware limits Published reference context for framing Stronger visibility never implies greater certainty Educational, non-diagnostic framing

Report generation

How the workflow becomes a readable report

Scores, panels and packs are assembled into a structured report — headline structure down to supporting context — with confidence cues and clear, non-diagnostic framing. The sample report shows how the workflow is translated into a user-facing experience.

✓Structured, scannable layout
✓Confidence cues shown in context
✓Supporting context and definitions
✓Illustrative sample data only — not a personal result

Interpretation boundaries

What the workflow does not claim

Not a diagnosis, screening or treatment tool Does not predict disease or deterministic outcomes Does not expose internal weighting or thresholds Not a replacement for professional advice Availability depends on sequencing route and report type

See the workflow become a report

The sample report shows how sequencing input becomes readable scores, panels and packs — with confidence cues and non-diagnostic framing.

See a Sample Report Scores, Panels & Packs