Omics Edge’s patent-pending bioinformatic technology can process and analyze genomic and phenotypic data at an unprecedented scale providing unmatched utility for any organization performing diagnostic and drug development processes or research.
Omics Edge has developed proprietary and soon-to-be patent-protected bioinformatic technology that allows us to process and analyze genomic and phenotypic data at an unprecedented scale. Our bioinformatics tools can be used throughout the diagnostic and drug development process from initial discovery to post-market surveillance.
We are able to incorporate past studies, public biobank data, and private data in order to drive discovery and development. In total, we have access to about 2 million samples with phenotypic data.
Omics Edge has developed a proprietary ancestral deconvolution tool that outperforms other leading ancestry methods in both non-admixed and admixed samples. It has ~15% better overall recall and ~14% better overall precision than the next-best model.
Our proprietary genomic compression algorithm can achieve a better than 100:1 compression ratio on genomic data and is uniquely designed and developed for large biobank scale data.
Our proprietary and soon-to-be patented compression algorithm can compress massive amounts of genetic and phenotypic data at an unprecedented scale while allowing analysis and processing to occur without the need to decompress the entire dataset.
Our proprietary imputation algorithm outperforms leading imputation methods across all allele frequencies, performing exceedingly well for rare variants, where all other models struggle.
As a proof of concept, we built a genomic companion diagnostic pipeline based on matching people's genetic data to lifestyle, diet, and vitamin and mineral recommendations. In the graph, you can see the users’ biomarker data before and after using the platform, which indicate improvements in fasting glucose levels (mg/dL) (a) and in HbA1c levels.
Polygenic Risk Scoring (PRS) allows us to know the genetic predispositions for a myriad of common health conditions including the top causes of death and health care expenses such as cardiovascular disease or diabetes. Our proprietary PRS algorithm has consistently outperformed other leading models.
We provide a variety of relationship inference services using genetic data including
By utilizing our cutting-edge imputation models that outperform today’s industry-leading algorithms, we can provide highly accurate ancestry-informed polygenic risk scores for hundreds of complex diseases.
With the inclusion of an individual’s lab results, demographics, ethnic background, family history and other key descriptors, we can expand relative risk models into predictions of individual disease risk which incorporate both genetic and environmental factors.
Based on an individual’s genetic data, our cutting-edge technology can select drugs, therapies and lifestyle interventions that are likely be most effective and predict which ones may lead to adverse effects.
We can provide direct genotyping services to identify diseases linked to specific genetic variants and identify individuals’ carrier status for various genetic disorders.
With 2 million+ samples of genetic data and a comprehensive library of past studies, we can help guide the choice of therapeutic targets in drug development, and identify potentially problematic pathways which have multi-disease roles.
Perform clinical trials more efficiently and reduce trial-and-error with our technology that can provide accurate predictions and recommendations based on an individual’s genetic data.
