Unlock genomic insights for hereditary disease
Emedgene streamlines your tertiary analysis workflows for rare disease genomics and other germline research applications
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Emedgene is designed to accelerate the time and certainty in user-defined variant interpretation, prioritization, curation, and research report generation.
Enable greater efficiency from your tertiary analysis workflows with explainable AI (XAI) and automation supporting genomes, exomes, virtual panels, and targeted panels.
Unify your laboratory and NGS instrumentation with your IT systems to simplify and secure your complete workflow.
Confidently keep pace with evolving science, technology, and demand with up-to-date knowledge graph options, curation capabilities, and a team of experts to support your journey.
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. Analyze various variant types—SNVs, indels, short tandem repeats (STRs), copy number variants (CNVs), other structural variants, and mtDNA.
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.
97% accuracy in prioritizing relevant insights, AI can suggest variants in complex data sets that typically require hours of manual review.
Transparent logic. Every AI hypothesis is backed by literature and database sources.
Time-saving automated ACMG classifications for SNV, indel, CNV, and SV deletions/duplication variants.
Maximize use and reuse of your organization’s curated knowledge. Share across a private network of connected labs.
Understand how automating insights can help you confidently scale your data operations.
Overview of the automated insights solution with AI-prioritization that can streamline dry lab workflows for WGS, WES, virtual panels, and targeted panels.
Emedgene’s machine learning simplifies the highly complex task of variant analysis, allowing us to handle more tests every day.
Dr. Linyan Meng, Division Director Clinical Interpretation, Baylor Genetics, presents the results of a research study demonstrating the utility of machine learning for interpretation in a 180-sample cohort. By automating their variant prioritization and classification processes, machine learning technologies support eliminating the bottleneck in genomic data interpretation.
WGS is the most comprehensive method for genetic disease testing and is increasingly applied to rare disease and other hereditary disease research.
Virtual panels or “slices” can be created from a more comprehensive “backbone” assay that is standardized in the lab, such as WGS or WES.
WES evaluates the exons, or coding regions of the genome. WES can also serve as a standardized backbone assay for virtrual gene panels.
Analyze specific genes that are important for a hereditary disease or condition.
NGS technology is helping to drive breakthroughs in genetic disease testing by facilitating early detection and diagnosis.
A highly customizable laboratory information management system that allows genomics labs to track samples and manage workflows efficiently and securely.
Maximize genomic insights with DRAGEN secondary analysis, learn about the latest updates, read FAQs, and find product support.
Operationalize informatics and drive scientific insights with Illumina Connected Analytics. Contact us for information on pricing, subscriptions, and more.
Discuss your workflow to learn how you can streamline your NGS operations and power your lab for growth using Emedgene.
Your email address is never shared with third parties.