Amplicon Sequencing — Nuclyra
Loading Nuclyra…
Service · Bioinformatics Pipeline

Amplicon Sequencing

Targeted amplicon pipelines for panel-based variant detection, pathogen genotyping or marker screening — built around your primer design, not a generic one-size pipeline.

Who this is for

TYPICAL CLIENT

A molecular diagnostics team running a custom gene panel or pathogen assay

Usually a molecular diagnostics lead or applied genomics scientist running a custom amplicon panel — a cancer hotspot panel, a pathogen genotyping assay or a breeding marker screen — who needs primer-aware analysis, not a pipeline built for whole-genome data.

What you walk away with

Six concrete deliverables, not a slide deck.

This is exactly what transfers to you at the end of this Amplicon Sequencing engagement.

Primer-aware demultiplexing & trimming

A trimming step configured to your exact primer scheme, so amplicon boundaries never get miscalled as variants.

Low-frequency variant calling

Variant calling tuned for the low allele fractions common in hotspot panels and pathogen quasispecies.

UMI & duplicate handling

Unique molecular identifier consensus calling where UMIs are used, to separate true low-frequency signal from PCR error.

Panel-specific QC dashboard

Per-amplicon coverage and dropout reporting, so failed amplicons are visible before results are reported out.

Batch-level QC report

Cross-sample QC summarizing coverage uniformity and failure rates across a full sequencing batch.

Full documentation & handoff session

Written documentation plus a recorded walkthrough so your team can operate the pipeline independently.

What's included

What this service includes

Primer trimming & demultiplexing

Reads trimmed against your exact primer scheme so amplicon edges are never mistaken for real variants.

Low-VAF variant calling

Calling tuned to detect variants at allele fractions standard germline callers would filter out.

UMI consensus calling

Where UMIs are used, PCR duplicates are collapsed into a consensus read before variant calling.

Per-amplicon panel QC

Coverage and dropout reported at the individual amplicon level, not just averaged across the panel.

In practice

What this looks like in a real engagement

Three concrete examples of the kind of work this service covers.

Cancer hotspot panel

A targeted oncology panel analyzed for low-frequency somatic hotspot mutations across dozens of amplicons.

Viral genotyping amplicon panel

A pathogen surveillance panel processed to call lineage-defining variants from patient or wastewater samples.

Agrigenomics marker screening

A breeding program’s marker panel genotyped across hundreds of samples for trait-associated variants.

Why it matters

Why amplicon data needs its own pipeline, not a shrunk-down WGS one.

Amplicon data breaks assumptions a whole-genome pipeline relies on — primer sequences show up at every read boundary, coverage is deliberately non-uniform, and the variants that matter are often at allele fractions a standard germline caller would filter out as noise.

We build amplicon pipelines that trim exactly to your primer scheme and call variants at the sensitivity your panel actually needs, so a low-frequency signal doesn’t get lost in default filtering thresholds.

Amplicon sequencing dashboard showing taxonomic profile, diversity analysis and differential abundance
How we deliver it

How an engagement runs

Four stages, from sample intake to delivery.

Stage 01 — Demux & trim

Demultiplex & primer trim

Reads are demultiplexed and trimmed against your exact primer scheme before any calling starts.

Stage 02 — Call

Low-frequency variant calling

Variants are called with sensitivity tuned to your panel’s expected allele fraction range.

Stage 03 — QC

Per-amplicon QC

Coverage and dropout are reported per amplicon, flagging any that failed before reporting.

Stage 04 — Report & handoff

Report & hand off

Batch-level QC and a final variant report are delivered alongside full documentation.

Tooling

What we build it with

BWA-MEM2VarDictUMI-toolsNextflowMultiQCbcftoolsPrimer3fgbio
The variant that matters in an amplicon panel is usually the one a default germline caller would throw away as noise.
Questions we get

Before you reach out

With UMI-based panels we routinely detect variants down to 0.5–1% allele fraction; without UMIs, reliable detection is typically 2–5% depending on depth.

Yes — the primer scheme is what makes amplicon trimming accurate, so we’ll ask for it (or help you generate one) at project kickoff.

Yes, including minority variant calling for viral quasispecies, with panel-specific thresholds set for your assay.

Let’s talk

Running a panel that needs primer-aware analysis?

Send us your primer scheme and target variants — we’ll tell you honestly what sensitivity your panel design can support.