Which natural ingredients can be used to replace synthetic compounds in a toothpaste?
How does the human gut microbiome affect intestinal disorders?
Is gene G a suitable drug target for disease D?
Which biomolecular pathways relate to COPD severity?
Which bacteria contribute to periodontal disease related bacterial growth?
How does the gut microbiome influence the gut-brain axis?
Does selenium sulphide provide a long lasting treatment for dandruff?
Which microbial strains associate with body odour?
Can we influence the viability of bio-film forming strains of bacteria?
What is the safety profile of hydroquinone cream?
Which pathways effect psoriasis sufferers using drug treatments?
Which datasets should I integrate to understand the safety profile of Drug D?
What is the risk profile of drug D?
Which patients are likely to experience side-effects from checkpoint inhibitors?
Which human signalling pathways are affected by drug D?
Which patient groups are most affected by treatment T?
Which natural ingredients can be used to replace synthetic compounds in a toothpaste?
How does the human gut microbiome affect intestinal disorders?
Is gene G a suitable drug target for disease D?
Which biomolecular pathways relate to COPD severity?
Which bacteria contribute to periodontal disease related bacterial growth?
How does the gut microbiome influence the gut-brain axis?
Does selenium sulphide provide a long lasting treatment for dandruff?
Which microbial strains associate with body odour?
Can we influence the viability of bio-film forming strains of bacteria?
What is the safety profile of hydroquinone cream?
Which pathways effect psoriasis sufferers using drug treatments?
Which datasets should I integrate to understand the safety profile of Drug D?
What is the risk profile of drug D?
Which patients are likely to experience side-effects from checkpoint inhibitors?
Which human signalling pathways are affected by drug D?
Which patient groups are most affected by treatment T?
Genomic and microbiomic datasets are not only very large, but the number of interactions between components is exponential. Assembling and deriving insight from these data has previously required a specialist data science skill set. The e[datascientist] knowledge discovery platform unifies, values and connects these data to reveal entity interactions and relationships at scale, enabling an integrated experience from big data to insight without the need for data science expertise.
Capture, curate and federate experimental data and metadata
Enrich and prioritise concepts/entities to measure relevance
Explore a graph-based data structure to visualise relationships
Map contextualised data into a common knowledge framework
Apply world-class integrated workflows to scale up analysis
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