{"id":252534,"date":"2025-08-19T15:41:54","date_gmt":"2025-08-19T13:41:54","guid":{"rendered":"https:\/\/gws-sso-test.graphwise.ai\/linked-life-data-inventory\/"},"modified":"2025-08-19T15:41:54","modified_gmt":"2025-08-19T13:41:54","slug":"linked-life-data-inventory","status":"publish","type":"page","link":"https:\/\/gws-sso-test.graphwise.ai\/de\/linked-life-data-inventory\/","title":{"rendered":"LinkedLife Data Inventory"},"content":{"rendered":"\n

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Home<\/a><\/span> \u00bb LinkedLife Data Inventory<\/span><\/span><\/div>\n\n\n

LinkedLife Data Inventory<\/h1>\n\n\n\n

Get access to 200+ pre-processed and ready-to-use datasets and ontologies in RDF format about genomics, proteomics, pharmacology and more to enrich your proprietary data, unlock new insights, and accelerate R&D<\/h2>\n\n\n\n
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Request a personalized demo<\/span><\/a><\/div>\n\n\n\n
Success story<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Who is it for?<\/a><\/div>\n\n\n\n
How does it work?<\/a><\/div>\n\n\n\n
What to expect?<\/a><\/div>\n\n\n\n
The underlying solution<\/a><\/div>\n\n\n\n
Talk to LLDI<\/a><\/div>\n\n\n\n
Related Resources<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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Graphwise\u2019s LinkedLife Data Inventory (LLDI) empowers you to<\/h2>\n\n\n\n
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Access an extensive data collection<\/strong> from sources like UniProt, ChEMBL, PubMed, and ClinicalTrials.gov, OpenTargets, DisGenet and many more<\/li>\n\n\n\n
Cut data operations costs<\/strong> by automating data ingestion and updates<\/li>\n\n\n\n
Expedite R&D<\/strong> and the discovery of new therapeutic targets<\/li>\n\n\n\n
Bring confidence to your AI<\/strong> with domain knowledge and contextualized data<\/li>\n\n\n\n
Enhance insights and innovation<\/strong> by identifying relationships in both structured and unstructured data<\/li>\n\n\n\n
Improve regulatory compliance<\/strong> by linking and validating diverse data sources<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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“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!”<\/em><\/p>
Anonymous<\/strong>
Researcher, Leading US biomedical and genomic research center<\/cite><\/blockquote><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Who is Graphwise\u2019s LinkedLife Data\u2028Inventory for?<\/h2>\n<\/div>\n\n\n\n
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Pharma companies<\/h3><\/div>\n\n\n\n
Discover and repurpose a number of existing drugs to treat rare and newly identified diseases.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Biotech companies<\/h3><\/div>\n\n\n\n
Use target data of drug indications and build model datasets.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Research<\/h3><\/div>\n\n\n\n
Navigate efficiently a comprehensive data inventory of genes, proteins, compounds, diseases, and more.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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50-70%<\/div><\/div>\n\n\n\n
Lower Data Operation Costs<\/strong><\/p>\n<\/div>\n\n\n\n
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3-5x<\/div><\/div>\n\n\n\n
higher adoption across researchers<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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How it works<\/h2>\n<\/div>\n\n\n\n
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1<\/p><\/div>\n\n\n\n
Step 1:<\/h3><\/div>\n\n\n\n
Our established FAIRification process ensures the semantic harmonization of the data, normalizing property values to corresponding ontology \/ terminology instances specific for the biomedical domain.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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2<\/p><\/div>\n\n\n\n
Step 2:<\/h3><\/div>\n\n\n\n
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.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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3<\/p><\/div>\n\n\n\n
Step 3:<\/h3><\/div>\n\n\n\n
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 data inventory.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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4<\/p><\/div>\n\n\n\n
Step 4:<\/h3><\/div>\n\n\n\n
Each single dataset in the data inventory is represented by a documented schema and a detailed description of each RDF serialization including classes, properties and semantic mappings.<\/p><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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What to expect?<\/h2>\n\n\n\n
Find your Dataset<\/p>
You will get access to the LinkeLife Data Catalog system, in which you can identify relevant for your use case data set, using either the search or just filtering the results.<\/p><\/div><\/a>
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Dive Deeper<\/p>
You can dive deeper in the dataset dashboard in order to validate that the information you need is present and how it is related to other data sets.<\/p><\/div><\/a>
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Subscribe to Datasets<\/p>
Once you identify the which data sets will be required to implement your use case, you can subscribe for automatic regular updates.<\/p><\/div><\/a>
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Build your Knowledge Graph<\/p>
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.<\/p><\/div><\/a>
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Keep your Knowledge graph up-to-date<\/p>
Use the Data Loader app to configure automatic updates of the subscribed data sets and their automatic import according to your data architecture.<\/p><\/div><\/a>
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Target Discovery \u2013 The Underlying Knowledge Graph Solution<\/h2>\n<\/div>\n\n\n\n
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AI-powered solution for intelligent target identification and selection helping companies to:<\/p>\n\n\n\n
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Accelerate drug discovery & clinical research<\/strong> by centralizing biomedical knowledge to discover new hypotheses and facilitate data-driven decision-making<\/li>\n\n\n\n
Select the best targets<\/strong> by using customizable analytical methods on various data sources with transparent provenance<\/li>\n\n\n\n
Reduce the cost and time for validation<\/strong> through intelligent ranking and prioritization of targets and hits<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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0<\/span>10<\/span>x<\/span><\/div>\n\n\n\n
Faster Drug Discovery<\/p>\n<\/div>\n<\/div>\n\n\n\n
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0<\/span>5<\/span>x<\/span><\/div>\n\n\n\n
Lower Cost & Time for Target Validation<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Talk to LLDI \u2013 Powered Target Identification Graph<\/h2>\n\n\n\n
Knowledge Graphs hold immense potential for scientific discovery, but their complexity, massive scale, and steep technical requirements often make them inaccessible to researchers. Graphwise\u2019s natural language query interface breaks down these barriers, empowering scientists to explore target identification and selection data as easily as asking a question.<\/p>\n\n\n\n
This solution makes complex data accessible, visual, and actionable<\/strong> for every researcher.<\/p>\n<\/div>\n\n\n\n
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Key Challenges<\/h3>\n\n\n\n
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Complex and evolving schemas<\/strong> \u2013 The Knowledge Graphs structure can be hard to navigate and understand<\/li>\n\n\n\n
Specialized skills required<\/strong> \u2013 Graph query languages are often unfamiliar to most researchers<\/li>\n\n\n\n
Fragmented tools<\/strong> \u2013 Limited, inconsistent options for visualization and analysis<\/li>\n\n\n\n
Overwhelming scale<\/strong> \u2013 Billions of connections make queries slow and results hard to digest<\/li>\n\n\n\n
Difficult to interpret<\/strong> \u2013 Dense, interconnected results often need advanced summarization<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
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How it helps<\/h3>\n\n\n\n
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Accessible for all <\/strong>\u2013 Query in natural language, no coding<\/li>\n\n\n\n
Faster insights <\/strong>\u2013 Get answers instantly, no need for specialists<\/li>\n\n\n\n
Stronger ROI <\/strong>\u2013 Maximize value of your KG investment<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n
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Key benefits<\/h3>\n\n\n\n
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Accelerate drug discovery<\/strong> and clinical research by 10x<\/strong><\/li>\n\n\n\n
Select the best targets<\/strong><\/li>\n\n\n\n
Reduce the cost and time<\/strong> for validation by 5x<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Related Resources<\/h2>\n<\/div>\n\n\n\n\n
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\n \n $\"Unlocking$ \n <\/a>\n
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Unlocking Genetic Insights: How PubMiner AI Enhances ALS Research in HEREDITARY<\/h2>\n
Learn how Graph RAG technology can unlock hidden relationships between genes and neurodegenerative diseases from vast scientific literature.<\/p>\n Read more<\/a>\n <\/div>\n <\/div>\n <\/div>\n
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\n \n $\"Talk$ \n <\/a>\n
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Talk to Linked Life Data<\/h2>\n
Learn how Graphwise\u2019s natural language query interface empowers scientists to explore target identification as easily as asking a question.<\/p>\n Read more<\/a>\n <\/div>\n <\/div>\n <\/div>\n
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\n \n $\"Advancing$ \n <\/a>\n
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Advancing Automatic Knowledge Extraction with PubMiner AI<\/h2>\n
PubMiner AI helps overcome the challenges in automatic knowledge extraction from large volumes of scientific publications.<\/p>\n Read more<\/a>\n <\/div>\n <\/div>\n <\/div>\n
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\n \n $\"Biomedical$ \n <\/a>\n
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Biomedical Data Discovery<\/h2>\n
Demonstrates how natural language access to complex biomedical data lets researchers ask questions directly and surface relevant relationships – cutting down manual data exploration and speeding up hypothesis generation.<\/p>\n Read more<\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n
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Request a personalized demo<\/h2>\n\n\n\n
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