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Scientific challenge

Brands are currently running pipelines in siloed, unstructured environments, and these pipelines are often used without maintaining any biological context.

It is difficult to ensure pipeline scalability and reliability, as these pipelines require significant computation, monitoring, re-starting and troubleshooting. 

There is a pressing need for reliable computing resources that do not affect pipeline time execution.

e[pipeline] automates and scales biological pipelines in a context-aware environment.

Key features

  • Use, maintain and share pipelines specific to data types (e.g. metagenomic, transcriptomic, metabolomic)
  • Run pre-configured or customized data pipelines within the platform in a context-aware environment
  • Link outputs of pipeline runs to extensive downstream analyses (e.g. non-linear regression, multi-omics, network metrics, enrichment analysis, etc.)
  • Explore outputs from pipeline results and link them with further biological context (e.g. host interactions, links to diseases or indications, health benefits, etc.) via the multi-layer hypergraph
  • Export comprehensive reports within minutes, delivering traceability and transparency, and enabling more effective collaboration
  • Create highly scalable pipelines, expanding sample load without compromising results reliability 
  • Run key pipelines with automatically managed computational demands
  • Edit and amend pipelines in real time, based on data context and specific research objectives
  • Access a comprehensive overview of pipeline activities and results, identifying and visualizing emerging relationships in data
  • Extend workflows beyond pipeline runs, linking results to other experiments and biological outcomes, and expanding the frame for insight and knowledge discovery

Ready to get started?

Explore the platform

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

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