Comprehensive insights with BGE sequencing
BGE sequencing is a smart, scalable approach that balances breadth, depth, and cost—making it ideally suited for everything from large-scale cohort studies to targeted rare disease investigations. It delivers the coverage you need without the overhead of deep WGS, and the flexibility to scale as your research evolves.
Our team brings unique expertise to create tailored BGE workflows, developing custom pipelines for each project’s needs. Whether you’re working with challenging sample types, diverse populations, or clinical-grade requirements—we can help you build a custom BGE solution that maximizes output and minimizes compromise.
From project design to sequencing and bioinformatics, our experienced team works with you end-to-end to ensure data quality, reproducibility and scientific value at every stage.
Experience the power of our advanced BGE methodology:
Our custom hybrid pipeline overcomes the usual software limitations in parsing exome and WGS content in blended datasets by partitioning reads for region-specific QC, alignment, and variant calling. This approach ensures accurate detection in both low- and high-pass regions.
With coverage targets of >90% genome at 4x depth and >95% exome at 30x depth, we deliver fully annotated Variant Calling Format (VCF) files optimized for both clinical interpretation and large-scale association studies.
We validated this workflow in our CLIA/CAP-certified laboratory, generating a dataset providing high-confidence detection for >97% of ClinVar pathogenic variants from blood and saliva samples. That represents >4 million genomics variants at a fraction of the cost of standard WGS.
Our approach to BGE sequencing delivers the genomic breadth and depth you need with the economic efficiency your project demands. And it is particularly well-suited for studies involving diverse or underrepresented populations, where array-based methods often struggle with imputation accuracy.
Key advantages of Eremid’s BGE services:
- Cost-effective alternative to deep WGS
- More comprehensive variant detection
- High-quality imputation across the genome
- Deep, confident coverage of the exome
- Reduced bias vs SNP microarrays
- Streamlined bioinformatics and data handling
Learn more about our approach to Blended Genome Exome sequencing
