Enable greater efficiency from your tertiary analysis workflows with explainable AI (XAI) and automation for WGS, WES, virtual panels, and targeted panels.
Unify your laboratory and NGS instrumentation with your health IT systems to simplify and secure your complete workflow.
Confidently keep pace with evolving science, technology, and demand with up-to-date knowledge graph and curation capabilities.
Increase throughput without increasing headcount using explainable AI (XAI) and automated workflows.
Broaden your analysis to WGS or WES or standardize panels on a backbone assay and analyze various variant types – SNV, Indel, CNV, mtDNA, SV, and STR variants.
Implement a high throughput WGS, WES, virtual panel, or targeted panel workflow that is integrated into your lab's digital ecosystem.
Leverage the power of collaboration to share knowledge across a private network of labs.
Never a black box. XAI functions to help make insights prioritization suggestions, with evidence-backing, increasing workflow efficiency and confidence.
Maximize efficiency and scale by optimizing workflows for your standard operating procedures (SOPs) across test types and locking in your automated flow.
Integrate workflows with application programming interfaces (APIs), linking your tertiary analysis with laboratory information management systems (LIMS), storage, pipelines, and more.

97% accuracy in prioritizing relevant insights, AI can suggest variants in complex cases that typically require hours of manual review.

Never a black box, every AI hypothesis is backed by evidence collected from literature and databases.
Understand how automating insights can help you confidently scale your data operations.
Overview of the automated insights solution with AI-optimization that can streamline dry lab workflows for WGS, WES, virtual panels, and targeted panels.
Learn more about explainable AI (XAI) for insights prioritization that automatically curates relevant evidence.
Dr. Linyan Meng, Division Director Clinical Interpretation, Baylor Genetics, presents the results of a joint Baylor Genetics-Emedgene (and now under new brand name with Illumina, Connected Insights – Germline) study demonstrating the utility of machine learning for interpretation in a 180-case cohort. By automating the variant prioritization and classification processes, machine learning technologies can unblock the genomic interpretation bottleneck.
Watch WebinarWGS is the most comprehensive method for genetic disease testing and is increasingly applied to rare disease and other hereditary disease research for NICU cases and beyond.
Learn MoreVirtual panels or “slices” can be created from a more comprehensive “backbone” assay that is standardized in the lab, such as WGS or WES.
Learn MoreWES evaluates the exons, or coding regions of the genome. WES can also serve as a standardized backbone assay for virtual panels.
Learn MoreAnalyze specific genes that are important for a hereditary disease or condition.
Learn MoreNGS technology is helping to drive breakthroughs in genetic disease testing by facilitating early detection and diagnosis.
Next-generation sequencing provides deep insights into the molecular underpinnings of tumors and can help advance the promise of personalized medicine.

BaseSpace Clarity LIMS is a laboratory information management system designed for genomics labs to track samples and manage workflows for an optimized and efficient lab.

Illumina DRAGEN (Dynamic Read Analysis for GENomics) Bio-IT Platform provides accurate, comprehensive, and efficient analysis

A secure genomic data platform to operationalize informatics and drive scientific insights.
Discuss your workflow to learn how you can streamline your NGS operations and power your lab for growth using Connected Insights – Germline.
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