Omics analysis + drug discovery
Analyze biological datasets, uncover meaningful signals, and prioritize what to pursue next through interactive, transparent scientific workflows.
Analyze. Interpret. Prioritize.
Fully customized to your needs.
For sequencing & research partners →
Transcriptomics and drug discovery scoring. Metagenomics and ADMET are additional workspaces.
Circles: up-regulated · Squares: down-regulated · Gray: not significant
Analyze. Interpret. Prioritize.
Evidence from biological datasets, and structured decisions about what to pursue next.
Analyze biological data
Explore expression changes, quality metrics, pathways, genes, and biological signals in an interactive workspace — without rebuilding the analysis from scratch.
Transcriptomics is the omics workspace shown below. Metagenomics is an additional workflow.
Prioritize discovery decisions
Rank compounds, targets, or candidates using transparent, configurable evidence. Scores expose the criteria and weights behind the order.
Drug discovery scoring ranks candidates from the evidence your program already collects. ADMET can sit alongside as supporting evidence. Fully customized to your needs.
Illustrative ranking
Transcriptomics
Explore differential expression, pathways, and individual genes interactively — without rebuilding the analysis from scratch.
Volcano, heatmap, PCA, and related views stay linked to the same underlying table.
Ingest is fully customized to your pipeline, provider, and lab. We map the results you already have into one workspace — no need to rebuild the analysis from scratch.
Request a demo →Bring the data you already have
ENSCORE is an analysis and decision-support layer for biological datasets — regardless of where those datasets were generated. Ingest is fully customized to your needs. You do not need to repeat the upstream analysis.
↓ customized to your workflow →
ENSCORE
Bring existing results into one consistent environment. Explore genes, pathways, and figures without rebuilding plots by hand. Fully customized to your needs.
For researchers →Give customers an interactive analysis layer on top of the reports you already deliver — without building and maintaining a customer-facing bioinformatics platform.
Partner with ENSCORE →Every workspace is fully customized to your data, your pipeline, and your scientific questions. Talk to us about what you already have.
Drug discovery
Drug discovery rarely depends on one parameter. ENSCORE brings multiple scientific criteria into structured scoring models so teams can compare candidates consistently, understand trade-offs, and focus experimental resources.
Criteria, weights, and inputs are fully customized to your program. This demonstration uses an illustrative dataset — not a prediction of clinical success.
Why Compound 104 ranks here
Understand contributing factors, weights, and evidence.
Reflect the scientific criteria that matter to the program.
Evaluate candidates against the same model.
Platform direction
Omics analysis helps reveal what has changed. Discovery scoring helps determine what deserves attention next. Those are two parts of the same scientific job — not two unrelated applications.
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Data
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Signal
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Evidence
04
Prioritization
ENSCORE is being designed to increasingly connect analysis and prioritization workflows across the discovery process. This page does not claim that transcriptomic results are automatically converted into ranked drug candidates today.
Explore complex datasets without repeatedly rebuilding analytical workflows or working through disconnected spreadsheets.
For researchers →Bring biological analysis and structured candidate prioritization into reproducible workflows that can be shared across scientific teams.
For biotech & pharma →Extend sequencing services beyond data generation by offering customers an interactive environment for analysis, visualization, and interpretation.
Partner with ENSCORE →Let's see what ENSCORE can help you learn from it.
Generate omics data for your customers? Explore ENSCORE partnerships →
