Life Sciences organizations are challenged today with significant data access problems as most of the data required to achieve their goals - for example in drug discovery pipelines - is located in numerous disparate repositories, inside and outside the company. In this context, knowledge graphs become increasingly important in the life sciences domain, to structure, access and analyze the vast amount of data and knowledge available.
Using metaphactory, pharmaceutical companies can build, manage and curate their own knowledge graph for unified data access across heterogeneous data sources. Based on our platform, customers can easily set up a one-stop portal for a wide range of knowledge sources, covering relations about diseases, drugs, side effects, and more.
Outcomes and Benefits
Integrated view over disparate data sources
Our platform enables a seamless integration of closed and open data sources, interlinking with entity hubs such as Wikidata, and tapping into scientific literature as well as online communities and databases such as UniProt, NextProt, Medline, Pubchem, DrugBank, etc.
Intuitive search and querying
With our innovative approach for visual query construction, we enable domain experts to express rich and complex information needs through intuitive interfaces, without the need to learn and write SPARQL queries. A search for genes found in humans, along their properties, becomes a simple task, yielding results which allow for the immediate analysis of specific genes in the context of their e.g. relationship to other genes and how they affect a human’s reaction to certain drugs. Additionally, searching for and interacting with data becomes collaborative: users can save searches and result sets, can share them with others, and can annotate and discuss their findings.
A wide range of built-in visualization techniques allow users to easily create own dashboards to visualize search results. Proteins can e.g. be analyzed in a graph view correlating information from various databases and displaying various properties, such as diseases associated with the specific protein or their relationship with other proteins.
Additionally, very specific and custom visualization components as well as tools for data analytics can easily be integrated on-demand into our solution.