Customized Reference Genomes
Transcriptomes
Identifying Your Mechanism of Action
Single cell RNA-seq analysis
RNA-Sequencing Analysis
Differential Expression Analysis
Treatment response prediction
Diagnostic/prognostic Biomarker discovery
Pre-Clinical Patient Selection Strategies
Classifier development (ML/AI)
Experiment/Project design consulting
Genetics (GWAS, Exome-Seq)
If you have a specific disease that you're trying to discover new therapeutics for, UGenome can help by utilizing our suite of bioinformatic tools and external datasets. Our unbiased approach to target discovery can lead to identifying novel targets, giving our clients an edge in the therapeutic space for their disease of interest.
Whether you have internal data or not, UGenome can utilize bioinformatic pipelines to identify how your target of interest affects a specific disease on a molecular level. By increasing our client's understanding of their target's mechanism of action, we hope to narrow down potential therapeutic strategies and provide direction for the next steps in their experimental design process.
Before taking your therapeutic into clinical trials and hoping for the best, UGenome can assist in developing a molecular strategy to determine which subset of patients would most likely respond to your therapy regimen. UGenome can develop a customized score to guide your patient selection strategy by combining internal, external, and literature data.
If you have molecular data with response information, UGenome has the tools to employ this data to discover molecular biomarkers that predict response to your therapy. By using machine learning approaches and validation strategies, we will provide biomarkers with the most predictive power and are the most robust across available external datasets.