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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Elucidata
Elucidata

Elucidata

Founded 2015

Harmonize multi-omics and biomedical data to identify validated drug discovery targets

Pricing model

Demo

You can use Elucidata to harmonize complex biomedical research data and identify validated therapeutic targets for drug discovery programs. The system integrates proprietary experimental files with public multi-omics repositories, including transcriptomics, proteomics, and genetic datasets. Research teams can construct custom knowledge graphs that link molecular mechanisms to specific disease models. It evaluates and scores target candidates across multiple biological dimensions using in-silico perturbation models, delivering a ranked list with source-backed evidence to help scientists select the most viable targets before entering costly laboratory validation.

What Elucidata does

Harmonize proprietary experimental assays with public omics dataGenerate program-specific biological knowledge graphsScore gene candidates based on mechanistic evidence strengthRun in-silico perturbation models on candidate targetsExport ranked target shortlists for laboratory validationCurate and clean biomedical metadata across heterogeneous datasetsHarmonizes internal lab data with over twenty public biomedical repositoriesBuilds custom knowledge graphs focused on specific therapeutic disease contextsRanks target candidates across fourteen distinct biological dimensionsSimulates target perturbations using in-silico computational modelsProvides source-linked mechanistic evidence for target shortlist decisionsIngests and processes single-cell RNA and multi-omics sequencing datasets

Pricing breakdown

Pricing model: Book a demo

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Elucidata, Polly, multi-omics, drug discovery, target validation, bioinformatics, data harmonization, knowledge graphs, transcriptomics, proteomics, single-cell RNA-seq, biomarker discovery, target identification, biomedical data, target scoring