Within two to four weeks we find potential targets/biomarker candidates or do a detailed target/biomarker assessment. This will save you months of painstaking on-line desk research. Enter your contact details and we’ll contact you to discuss next steps.

Use our platform to find novel target/biomarker candidates or do detailed target/biomarker assessment yourselves. This will save you months of painstaking on-line desk research. Enter your contact details and we’ll set up a demo to show you!

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IN SILICO
ANALYSIS OF MOLECULAR
MULTI OMICS INTERACTIONS

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In Silico
Multi Omics

Drive your in vitro and in vivo research by ‘in silico’ multi omics analysis. Ask Euretos and evaluate how molecular mechanisms influence cell and tissue functions, and in turn mediate phenotypes and disease pathology.



MULTI OMICS ANALYSIS EXAMPLE

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In Silico Multi Omics Analysis

Euretos integrates over 200 multi-omics databases and interlinks literature, experimental and clinical evidence. This enables unique insights how molecular mechanisms influence cell and tissue functions, and in turn mediate phenotypes and disease pathology.

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Summary of Multi Omics Capabilities

Create and upload omics lists - Leverage the millions of biological annotations in the Euretos AI Platform to find genetic, metabolic or proteomic candidates that meet very specific criteria. Upload your own multi omics data, such as gene expression data or metabolomics lists to include in the analysis.

Overlay multi omics lists to find key causative candidates - Overlay multiple omics lists, each associated with specific biological characteristics, to find those candidates that meet most or all requirements.

Discover associated biomolecular mechanisms - Embedded analytics helps you discover associated biological multi omics phenomena such as pathways, gene regulation, protein complexes or cellular processes, ranked on p-value. Many of these associations will be novel and not yet mentioned in literature.

Rank results on related keywords in literature - Multi omics results can be ranked on the number of literature co-occurrences they have with one or more user defined keywords. All articles containing the result and the required keyword(s) can be accessed instantly for further analysis.

Rank genes on level of healthy and differential expression - If the multi omics results are genes, they can be ranked on healthy relative expression in a user defined tissue or on differential expression for a user defined disease

Read supporting evidence at every step - At each stage of the analysis, supporting evidence for your multi omics research is directly available.