PRIMERCAT · LIFE SCIENCE DESIGN TOOLS
PrimerCat: Design primers.Keep the evidence.
Transcript→Primer3→BLAST→Ranked
Illustrative previewTP53 · NM_000546
5′ → 3′- ΔTm
- 0.3 °C
- GC
- 55%
- Amplicon
- 152 bp
Reference & validation record2026-09-03+
Archived validation snapshot
The records below were archived on 2026-09-03; they are not a live service-status report. Consult each design result for the databases and screening scope actually used.
Index scope
This snapshot records 4,514,782 human annotation features, 202,461 human transcript-to-genome loci, and 3,023,953 mouse annotation features.
Computational coverage audit
Our public fixed cohort contains 200 genes and 2,000 candidate pairs; 1,648 pairs met the predefined joint rule, and 180/200 genes had at least one pass. Inspect the audit record
Integrity and release checks
We checked all 17/17 listed human runtime files and the 3/3 mouse files changed in this update; every cross-host SHA-256 value matched. The PrimerCat software baseline passed 283 backend tests and production smoke tests for qPCR, PCR, CRISPR, and BLAST.
Researchers should not interpret index-record counts as unique genes or usable candidates, or a pass as a wet-lab success rate.
Where each candidate comes from
PrimerCat retains the reference sequence, constraints, screening scope, and ranking basis for every result. Researchers must still confirm performance in the actual experimental system.
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Resolve the reference
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Generate candidates
Primer3 applies length, Tm, GC%, product-size, and thermodynamic constraints.[3]
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Screen fixed references
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Rank and validate
Computed does not mean experimentally valid
PrimerCat separates reproducible values, database screens, heuristic ranks, and experimental confirmation.
Deterministic calculation
Researchers can recalculate sequence length, GC%, coordinates, and recipe arithmetic from the input.
Database screen
PrimerCat's screening statement covers only the declared database, version, thresholds, and hit cap.
Heuristic rank
PrimerCat uses scores to compare candidates; it does not present them as calibrated success probabilities.
Experimental validation
Researchers must use melt curves, gels, sequencing, efficiency curves, or cellular assays to establish real performance.
Methods and references
We link core algorithms, databases, and validation frameworks to their original papers and publish the full scope, limitations, and benchmarks on the methods pages.
Show 7 core references
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