HelixCore · Precision Genomics. Unlimited Power. The twelve modules
FILE DC–2026–07
ENGINE Bowtie2 + SantaLucia NN
CLASS. TECHNICAL · PUBLIC
VERDICT 6 levels
BASIS 16 references
08 Validation · in silico

DigiCycler

It predicts whether a primer pair will amplify its target and reject the exclusions before spending a cent in the laboratory. Not by checking sequence similarity, but by modelling what happens in the tube.

The distinction that governs the whole module: it is one thing for a sequence to align and quite another for it to prime and amplify. A report that confuses the two is worth nothing.

How to read this page
Every verdict travels with the search space in which it was issued. "No off-target here" does not mean "specific": it means here, and here is declared.
10 on-target factors · 3 off-target layers
16 published references support the model
10
weighted biophysical factors on the target, returned one by one in the report
3
progressive layers against the exclusions: binding, 3′-end discrimination and amplicon prediction
6
verdict levels, from validated to non-functional, each with its reason
16
published references support the model, cited factor by factor
What makes it unique
It is not a homology search with a nice name. It integrates alignment, nearest-neighbour thermodynamics, the biochemical model of 3′-end extension and secondary-structure prediction of the amplicon into a single pipeline — ten weighted biophysical factors and a six-level verdict.
A mismatch in the last three bases of the extending end penalises amplification severely even if the rest of the primer is identical. That is exactly the case a homology search flags as a risk and the tube refutes — and the reverse, the one it waves through that then amplifies what it should not.
01 The state of the art

Resembling a sequence is not amplifying it.

Validating specificity at the bench takes expensive DNA panels, weeks of work and several rounds of optimisation. And the usual alternative — a homology search — answers a different question from the one the lab is asking.
Tool
How far it goes
What DigiCycler adds
Conventional BLAST
Finds similar sequences in a huge database, fast and free.
Answers «will it amplify?»: it models real thermodynamics, accessibility of the extending end, secondary structures and dimers — ten biophysical factors and three off-target layers.
Primer-BLAST
Pairs forward and reverse and narrows by organism, which is a step in the right direction.
Completes that step: a thermodynamic model of the hybrid, amplicon structure prediction and a graded verdict that separates the risky from the unworkable.
Experimental validation with panels
It is the definitive test: the tube has no opinions.
Arrives before the panel: it anticipates what the tube will confirm and declares the search space in the report, so experimental validation is aimed at what matters.
Trusting the design and testing
It is quick and often works out.
Puts the cost where it is cheap: the failure shows up in the report rather than in assay time, a spent sample or a decision taken on a result that was not specific.
02 What is modelled

Ten factors on the target. Three layers against the rest of the world.

The three off-target layers are progressive: they quickly discard whatever cannot bind, and only what survives reaches the expensive amplicon-prediction analysis.
On target · ten weighted factors
Binding Melting temperature 3′ stability Accessibility Dimers Amplicon GC Secondary structure Length G-quadruplex Mispriming
Each enters the reaction success index, from 0 to 1, with its weight, and the report returns them broken down: a candidate is not rejected "for a low score", it is rejected for the factor that sinks it.
Off target · three progressive layers
Layer 1 · thermodynamic binding
Can the primer bind there with enough energy? Whatever fails the threshold is discarded without spending further compute.
Layer 2 · 3′ discrimination
Even where binding is stable, a mismatch in the last three bases severely penalises extension. This is the filter that separates similar from functional.
Layer 3 · amplicon prediction
With both primers bound, is there an amplicon of plausible size and structure? Only here is an unexpected amplification declared.
The verdict, in six levels
Validated
Index at or above 0.75 and no off-target finding in the declared space.
Conditional
It works, but with a specific caveat the report names and that is worth checking.
Non-specific
It also amplifies where it should not: there is at least one off-target that primes and yields an amplicon.
Suboptimal
Specific, but with biophysical factors that anticipate poor performance on the target.
Risky
It may work, on a narrow margin: small deviations in conditions bring it down.
Non-functional
The biophysics says it does not amplify. Better to know before ordering the oligonucleotide.
03 The search space

What it was searched against, stated in the report itself.

Three scopes, from the declared panel to everything deposited. The report names the one used, because a clean result on a small panel is not a declaration of specificity.
Declared panel
Against the exclusions you define
The default scope: the genomes the assay has to reject, declared by the user or inherited from curated knowledge, matrix-aware where indicated.
Bounded wide
Target clade plus universal contaminants
A fast local search reusing the design specificity pipeline, with forward-by-reverse pairing and 3′-end analysis.
Exhaustive wide
Against everything deposited
A direct query to the public nucleotide database with the same pairing and local analysis. It runs in the background, with progress and an estimated time.
The honesty the module demands
"No off-target findings" only means something when accompanied by the space searched. That is why the report always declares it, and separates what aligns from what primes and amplifies: they are two different lists, and only the second ruins an assay.
The module does not interpret biology either: it validates primers. It consumes the exclusion panels projected by curated knowledge and does not couple to the engine that produces them — which keeps the verdict reproducible even as the knowledge evolves.
04 The contract

What goes in, what comes out, what it chains to.

In
A primer pair and target sequence, standalone or from the institutional repository; the exclusion panel, declared or inherited from curated knowledge; and, if wanted, a whole kit to request a second opinion from an independent engine.
Out
A success index from 0 to 1, a six-level verdict, the breakdown of the ten factors, a list of off-target findings with the reason for each rejection or alert, the predicted melting temperature of the amplicon and optimisation recommendations.
Chains to
It receives from SnapPrime and from the repository; it delivers to FastKit, which only packages primers that have been validated. Matrix mode to cross N primers against M genomes, and batch mode with progress tracking.
05 Technical sheet
Input
A primer pair and target sequence; optionally a probe, an exclusion panel and the working matrix. It also accepts a complete kit from the generator, as a second opinion from an independent engine.
Modes
Single, batch, a matrix of N primers by M genomes, and multiplex with asynchronous progress tracking.
Output
A reaction success index from 0 to 1, a six-level verdict, the breakdown of the ten factors, off-target findings with their reason, the predicted melting temperature of the amplicon and recommendations.
Declared space
Every report names the search space it was issued in, and separates what aligns from what primes and amplifies. Two lists, not one.
Architecture
The module stores no knowledge of its own: it consumes the exclusion panels projected from curated knowledge. That keeps the verdict reproducible and decoupled from the inference engine.
Limit · panels
The freshness of the exclusion panels depends on the publication cycle of curated knowledge. An out-of-date panel narrows the search space without the number showing it: that is why the report declares the date.
Limit · mismatches
The aligner's mismatch policy is fixed in the code and is not yet configurable from the interface. It sits in the module's debt register.
Limit · in silico
It is biophysical prediction, not an assay. It replaces optimisation rounds and discards the unworkable before reagent is spent, but formal validation of a method still requires the laboratory.
Alignment: Bowtie2 in paired mode. Nearest-neighbour thermodynamics: SantaLucia (1998). 3’ end extension model: Kwok (1990) and Stadhouders (2010). Stability and salt correction: Owczarzy (2004). Broad search: local similarity channel and a client for the NCBI public BLAST interface against the nucleotide collection. Sixteen published references in total.

Let the thermocycler confirm, not discover.

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