From discovery to precision metagenomics: controls that align research with clinical rigor.
Precision Metagenomics for Clinical Validation
At MicroVerix, we design controls that reflect the true complexity of clinical samples—because accurate validation requires more than fragments or synthetic DNA. Our precision metagenomics solutions provide clinically relevant microbial controls containing representative organism types across bacteria, fungi, viruses, and AMR markers that clinicians actually encounter in patient populations.
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Representative Organism Panels – Each control set includes pathogens, commensals, and resistance markers commonly seen in clinical workflows (e.g., UTI, STI, GI, ENT, RPP). This ensures validation outcomes are clinically meaningful, not just technically convenient.
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Complex Community Standards – Our multi-organism, defined microbial mixes reproduce the diversity and abundance patterns of real-world samples, supporting bias detection, reproducibility studies, and inter-lab comparability in metagenomic workflows.
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Custom Mock Microbiomes – We tailor mock microbial communities to match your panel targets, sequencing depth, and intended clinical application, bridging the gap between bench-top assay development and real-world patient diagnostics.
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qPCR + NGS Alignment – Because clinical testing often integrates rapid qPCR with confirmatory NGS, our standards are validated across both modalities, enabling a single set of controls for end-to-end workflow assurance.
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Clinical Validation Pathway – With these controls, labs can robustly measure LoD, specificity, cross-reactivity, reproducibility, and bioinformatics accuracy—key metrics for regulatory submissions and accreditation.
Our approach builds on RetroBiotech’s published work in precision metagenomics, demonstrating how clinically relevant, representative organism controls drive accuracy, comparability, and regulatory readiness.
By providing real organisms in clinically representative communities, MicroVerix ensures your precision metagenomics panels are not only validated in theory, but proven against the complexity of real-world infections.