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Ontology Management
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
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Enterprise FAIR Data
The challenges of harmonising data to be Findable, Accessible, Interoperable and Reusable
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Text Analytics + Semantic Enrichment
Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formats
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Semantic Search
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
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Knowledge Graphs
Semantic enrichment technology that facilitates the production of knowledge graphs
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Artificial Intelligence
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
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Why choose SciBite?
At SciBite, we're passionate about helping our customers get more from their data. We love what we do and we think you'll love working with us, here's why...
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Built by scientists for scientists
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
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Unique deep learning approach
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
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Putting customers at the heart
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
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Supporting the top 20 pharma
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
Our customers
News and opinion
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SciBite Unveils Partnership with Modak
Modak, a leading provider of data engineering solutions, and SciBite, an award-winning provider of semantic analytics technologies, today announced a partnership that will empower Life Science enterprises to fast track the process of generating insights from research publications, patents, and documents, which is crucial for advancing scientific discovery.
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How SciBite Technology Can Facilitate Gene-Disease Relationship Extraction
As genomic sequencing technologies get more advanced, large numbers of gene-disease associations have emerged. A gene with an unclear role within a disease is a source of ambiguity and can lead to misdiagnosis. In this blog, we demonstrate how semantic search technology can facilitate Gene-Disease Relationship Extraction.
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Harnessing our Latest VOCab:
EmtreeThe 6.5.2 release of SciBite’s VOCabs introduces a range of new VOCab packs as well as updates to existing vocabularies. In this blog series we’ll be introducing each of the new VOCabs: IDMP, a new Sequence Ontology VOCab as part of the Genotype-Phenotype VOCab pack and, first up, the new Emtree VOCab pack.
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