AI-Powered Primer Design for Targeted Genomic Analysis
We provide an advanced AI-driven primer design platform optimized for targeted genomic applications, including DNA methylation analysis and mutation profiling. By integrating sequence context, assay constraints, and multiplexing requirements, our platform delivers high-performance primer sets for robust and reproducible downstream workflows.
Key Features
- Ensures precise amplification of target regions with minimal off-target effects and high sensitivity for low-abundance or challenging samples (e.g., cfDNA, bisulfite-converted DNA)
- Supports scalable multiplex primer design with minimal cross-reactivity
- AI-optimized design parameters, including:
- Multiplex level compatibility
- Melting temperature (Tm) balance
- Primer length and GC content
- Amplicon size constraints
- Controlled mismatch tolerance
Design Validation & Quality Control
- Genome-wide specificity screening to minimize off-target amplification
- Primer-dimer and secondary structure analysis (hairpins, self-/cross-dimers)
- Thermodynamic modeling (Tm uniformity, GC balance)
- Amplicon prediction and performance scoring
- Multiplex compatibility assessment across primer pools
Applications
- Targeted methylation sequencing (bisulfite-based assays)
- Targeted mutation detection and sequencing
- qPCR assay development and validation
- Single-cell RNA sequencing (scRNA-seq) workflows