LinkedLifeData Inventory
Get access to 200+ public datasets and ontologies in RDF format about genomics, proteomics, metabolomics, molecular interactions and biological processes, pharmacology, clinical, medical and scientific publications and many more (UMLS, SNOMED, LOINC, ICD-9, ICD-10, ChEBI, ChEMBL, UniProt, PubMed, ClinicalTrials.gov, FDA AERS as well as very niche ones like GWAS, DisGenet, OpenTargets, PathwayCommons, FDA NDC, Drugs@FDA)
Graphwise’s Life Sciences and Healthcare Data Inventory will give you access to 200+ public datasets and ontologies in RDF format and empower you to
Bring confidence to your AI with domain knowledge and contextualized data
Create large, highly interconnected and use-case specific knowledge graphs in just a few weeks
Leverage our proven methodology for semantic data integration
Enrich your proprietary data to get deeper insights
Subscribe to a custom set of datasets and preferred update frequency (depending on the update frequency guaranteed by the official publisher)
Anonymos
Researcher, Leading US biomedical and genomic research center
"LinkedLife Data Inventory solution does what they need it to do. The willingness of the Graphwise team to adjust the tool based on needs was a critical point. We formed a relationship with them that made a difference - and our ability to handle large data sets, to find and rank choices is now so much better and faster!"
Who is Graphwise’s LinkedLifeData Inventory for?
Pharma companies
Discover and repurpose a number of existing drugs to treat rare and newly identified diseases.
Biotech companies
Use target data of drug indications and build model datasets.
Research
Navigate efficiently the huge volume and wide range of data about genes, proteins, compounds, diseases, etc.
%
Lower Data Operation Costs
Faster Time-To-Market
How it works
Our established FAIRification process ensures the semantic harmonization of the data, normalizing property values to corresponding ontology / terminology instances specific for the biomedical domain.
For datasets serialized in RDF by their official publishers, we generate additional semantic mappings between certain concepts from referential datasets for genes, proteins, drugs, compounds, pathways, diseases, cell types and cell lines.
Whenever necessary for the delivery of a custom knowledge graph solution, we provide a definition of the mappings between the customer proprietary ontology and the incorporated public datasets from our inventory.
Each single dataset in the inventory is represented by a documented schema and a detailed description of each RDF serialization including classes, properties and semantic mappings.
What to expect?
Find your Dataset
Dive Deeper
Subscribe to Datasets
Build your Knowledge Graph
Find your Dataset
You will get access to the LinkeLifeData Catalog system, in which you can identify relevant for your use case data set, using either the search or just filtering the results.
Dive Deeper
Subscribe to Datasets
Build your Knowledge Graph
Once you identify the relevant data sets for your use case, you can start building your knowledge graph starting with the source data sets loaded and accessible through GraphDB Workbench
Keep your Knowledge graph up-to-date
Target Discovery – The Underlying Knowledge Graph Solution
AI-powered solution for intelligent target identification and selection helping companies to:
Accelerate drug discovery & clinical research by centralizing biomedical knowledge to discover new hypotheses and facilitate data-driven decision-making
Select the best targets by using customizable analytical methods on various data sources with transparent provenance
Reduce the cost and time for validation through intelligent ranking and prioritization of targets and hits
Faster Drug Discovery
Lower Cost & Time for Target Validation
Related Resources
Blog
Learn how Graph RAG technology can unlock hidden relationships between genes and neurodegenerative diseases from vast scientific literature.
Read about how our solution, based on LinkedLife Data Inventory, addresses the challenges researchers face in the drug discovery process
PubMiner AI, based on LinkedLife Data Inventory, helps overcome the challenges in automatic knowledge extraction from large volumes of scientific publications.