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e[target]
Select, prioritize and optimize targets
Scientific challenge
Targets are often prioritized based on opinions, assumptions or previous studies. But not enough are based on real data.
A lack of standardization impedes effective target prioritization, and it is difficult to place targets within a broader data context (a network) to effectively elucidate potential intervention methods and outcomes.
Report generation is time-consuming and lacks traceability, as results are often separated from the originating data.
e[target] prioritizes targets in a collaborative, traceable and data-driven method, presented in a highly visual manner.
Key features
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Rank and prioritize targets or any entity of interest (e.g. genes, proteins, chemical compounds, bacteria, etc.) using multi-criteria valuation capabilities
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Continuously build and evolve prioritization models in accordance with company scientific standards, and collaborate with colleagues
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Perform downstream data exploration and analysis (e.g. regression, non-linear regression, clustering, graph metrics)
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Explore and evaluate target function, suitability and essentiality using an intuitive, data-driven interface
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Export comprehensive reports within minutes, ensuring traceability, transparency and collaboration
Benefits
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Prioritize shortlists of candidate targets following a rational, data-driven and collaborative process
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Justify which targets are most relevant with all the available evidence
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Translate biological questions into a data journey that showcases existing/absent data sources
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Adopt agile methodologies to enhance, reuse and share prioritization models, and change objectives on the fly
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Define computationally-predicted functionality for potential targets and compound desirability
Ready to get started?
Explore the platform
services
Augment the internal data estate with an industry-defining data universe designed to accelerate collaborative innovation in the microbiome space.
low-code customer apps
Compose robust low-code applications covering a range of business needs. Extend e[datascientist] to deliver custom capabilities and experiences.
Innovating for a better future
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.
![Unilever](https://www.eaglegenomics.com/hubfs/Unilever.png)
Samantha Tucker-Samaras
Global Vice President Science & Technology, Beauty and Personal Care R&D at Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.
![cargill](https://www.eaglegenomics.com/hubfs/cargill.png)
Mike Johnson
Marketing Director at Cargill Health Technologies
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.
![Reckitt_white_small](https://www.eaglegenomics.com/hubfs/Reckitt_white_small.png)
Chris Jones
Vice President of R&D Hygiene at Reckitt
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