Whole-genome and whole-exome sequencing are central tools in rare disease research. However, unresolved cases often involve structural variants or repetitive regions that remain difficult to interpret using short-read sequencing alone.
Our long-read sequencing platforms enable the detection of structural variants, repeat expansions, and complex genomic rearrangements with high resolution. This approach improves variant interpretation, phasing, and characterization of challenging genomic regions, significantly enhancing diagnostic yield.
Many rare disorders are driven by aberrant splicing events or altered gene expression. Through RNA sequencing and full-length transcript analysis, we assess transcript isoforms, identify expression outliers, and evaluate the functional consequences of genomic variants. Integrating DNA and RNA data strengthens genotype–phenotype correlations and supports more confident classification of candidate variants.
Genomic findings alone do not always explain disease pathology. Our mass spectrometry-based proteomics and metabolomics workflows provide complementary insights into dysregulated pathways and disease-associated molecular signatures. By integrating multi-omics datasets, we move beyond variant detection toward mechanistic understanding.
Rare disease research generates complex, high-dimensional datasets that require rigorous analysis. Our bioinformatics team performs structural variant detection, variant prioritization, cross-omics integration, and functional annotation. This ensures that molecular findings are translated into biologically meaningful and clinically relevant insights.
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