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ATLAS Sequencing Technologies

From 16S to metatranscriptomics

The sequencing method you choose shapes the resolution of your microbiome context — and how much of the ATLAS interpretation layer becomes available. Deeper methods reveal more scores, panels, and insight packs, each still framed with honest confidence.

How sequencing choice shapes available insight

Method depth sets the resolution of what ATLAS can read

Different sequencing technologies capture microbial ecosystems at different resolutions, and that choice flows directly into what ATLAS can interpret.

16S rRNA sequencing identifies which bacteria are present — a broad, cost-effective view suited to genus-level context.

Shotgun metagenomics reads more of the genetic content, supporting finer taxonomic resolution and functional potential.

Metatranscriptomics looks at microbial activity — what genes are being expressed. At VAMS BIOME it is a planned layer.

For everyday readers, deeper methods mean a richer, more complete report. For science-literate readers and HCPs, method choice determines which scores, panels, and insight packs are available and how confidence indicators are calibrated.

Regardless of depth, results remain sequencing-derived microbial context describing associations, not causation — never a diagnosis. Choosing greater depth expands resolution, not certainty; every output is still read within its stated confidence and limits.

What 16S, WGS, and MetaT can support — and where each one stops.

Each ATLAS™ output records the sequencing method behind it, so interpretation never exceeds what the data can support. 16S Foundation™ profiles community composition and diversity. WGS Advanced™ adds species-level resolution where coverage permits, and functional potential. MetaT Functional™ is a planned layer that would add active expression context. Where a method cannot support an output, ATLAS shows it as gated context — never as an empty or overstated result.

A score answers one biological question; the calculation underneath adapts to the method, but the public score stays stable.

See sequencing depth reflected in a real report

Explore how method choice changes which scores, panels, and insight packs appear — and how confidence is framed at each level.

Outputs that a method cannot support are shown as gated context, never as empty or overstated results.

Three methods, three questions

Methods differ by question, not by rank.

Each sequencing method answers a different question about the same sample, and each has boundaries it cannot see past. Choosing a method is choosing a question.

One sample · three different questions

16S Foundation™

Question it answers

What is present, and how is the community structured?

Reads out

  • Marker-gene composition
  • Diversity measures
  • Ecological context

Cannot resolve

  • Species-level identity within closely related groups, such as Lactobacillus
  • Functional genes, which sit outside the marker region

WGS Advanced™

Question it answers

Which species are present, and what could the community do?

Reads out

  • Species-level structure
  • Gene content across genomes
  • Functional potential

Cannot resolve

  • Whether any annotated gene is actually being expressed
  • Organisms falling below the depth reached in a run

MetaT Functional™

Question it answers

What was being expressed when the sample was taken?

Reads out

  • Expression context at the sampled timepoint

Cannot resolve

  • Conditions before or after that timepoint
  • Genes present but not being transcribed at that moment

Not a ladder — no method supersedes another.

The three methods answer different questions and are not ranked against one another. Each has boundaries; the appropriate method depends on the question being asked. Order of presentation carries no meaning.

After sequencing

Every method feeds the same interpretation layer.

Whichever method produced the reads, the signal passes through the same ATLAS™ interpretation layer — so what you receive is structured, comparable output with its method support stated.

How interpretation works →

Sequencing signal

Unordered, method-dependent reads

ATLAS™ interpretation layer

Structured output

Ordered, labelled, bounded by method

Conceptual: sequencing reads resolve through the ATLAS™ interpretation layer into ordered structure. Illustrative — not real sample data.