GenomAnalytics (GA) is a visualization and statistical analysis tool composed of flexible, reusable widgets. It utilizes GenomOncology's Precision Oncology Platform to enable the analysis of any molecular, clinical, demographic, or recommendation data in one view. The tool also integrates with any existing R/ Python-based tools and Jupyter Notebooks. GenomAnalytics provides you with a fully configurable visual dashboard to make analyzing and reviewing large sets of data for audits and research more efficient.

We help you visualize and analyze your molecular and clinical patient data in one place.


We can easily combine your clinical and molecular data to allow you to visualize and analyze comprehensive summaries of all of your data in one or more dashboards.

Integrated Data

Our tool enables you to review cohorts of patients that can be identified for enhancing clinical trial enrollment, or matching to a new approved therapy. 



Cohort Identifcation

GenomAnalytics allows you to identify top clinical trials matched for your patient population, including top triggering biomarkers and institution-specific or geo-located trials. 

Recommendation Investigation

Operational Dashboards

The solution enables you to gain insights into laboratory operational metrics, such as turnaround time, number of cases per month, and sign-out numbers per user. 

Configurable Dashboards

GenomAnalytics allows you to create your own configurable dashboards with user-specified graphs and modals that will automatically update based on new clinical or molecular data.

Sophisticated Analysis

Our tool has a simple, easy UI that enables you to configure the solution to fit your needs. For more sophisticated analyses, our tool also integrates with your Jupyter notebooks and R data tools.




Our Precision Oncology Platform can handle uploaded event data, such as time to progression, time to death, or time to the last follow-up. GenomAnalytics uses this data to perform survival analysis on different case cohorts and determine survival differences between each group. Results can be displayed as Kaplan-Meier curves or as survival summaries.




GenomAnalytics can help users determine recurring, co-occurring, and mutually exclusive alterations. Molecular data loaded into the Precision Oncology Platform can be compared across case cohorts and our built-in comparison tools allow users to easily determine alteration occurrence patterns across cohorts and different disease types.


1138 West 9th St Suite 400

Cleveland, OH 44113, USA

(440) 617-6087


© 2021 GenomOncology LLC