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Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
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SciBite / Use Cases / Bioassay Registration

Bioassay registration Databases dedicated to managing bioassay data contain a wealth of knowledge but extracting this can prove challenging as many are not designed for this purpose. This eventually leads to silos of legacy data aligned to varying standards.

Bioassays play an essential role in helping pharmaceutical companies determine the potency, or biological activity of their products. SciBite helps you overcome the complexities of organizing legacy data, employing public standards to ensure the resulting enriched data is open and interoperable and in line with FAIR principles. It also ensures that prospective data capture aligns to the same ontological standards for the seamless integration of historic and future data. 
How SciBite unlocks the value of bioassay data
Data alignment

SciBite forms combines autocomplete functionality and semantically aware fields for consistent data input while TERMite automatically aligns entries to their correct ontologies.
Icon - Ontology management
Ontology management

CENtree provides a centralized, collaborative platform for the curation and management of ontologies, using subject matter experts to determine and set standardized terminology protocols.
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Vendor independence

SciBite’s agnostic position and application of public standards allows for data migration across proprietary systems ensuring interoperability and continuity while adhering to FAIR principles.  
Overview One of the biggest challenges the pharmaceutical industry faces is making scientific data findable, accessible, interoperable and reusable (FAIR).

One of the biggest challenges the pharmaceutical industry faces is making scientific data findable, accessible, interoperable and reusable (FAIR). 

Bioassay data management systems are often based on relational databases which often lead to ambiguous, imprecise and inconsistent entries. To ensure that data is clean, harmonized and interoperable, ontology management is key (in addition to applying public standards). 

Bringing SciBite’s unique combination of retrospective and prospective semantic enrichment tools to any bioassay platform means that the data held within it can be standardized and easily integrated with other sources, to make it machine-readable and ready for automated analysis. Here are some of the benefits of semantically enriched data: 
White Pelican feathers
Holistic outlook

Simplifying data integration makes it easier to gain a more holistic overview over all external and internal sources of data, whether it’s in relation to any given compound, target or disease of interest. All the associated activity is easily retrievable. 

 Ontology-based queries

Semantic enrichment makes it much easier to interrogate data on a deeper level by facilitating more complex, ontology-based questioning. It ensures that all the relevant data is found irrespective of the synonym or terminology used.

 Third-party application

Bioassay data aside, SciBite can also apply semantic enrichment to internal and external gene expression data and other third-party sources, including patents and commercially available databases.
Take a closer look

See how SciBite helped a global pharmaceutical company to unlock the value of their bioassay data despite a lack of standardization, missing fields and long assay descriptions.

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Relevant resources, events and news
https://scibite.com/knowledge-hub/resources/bio-it-world-2023-scibite-centree-presentation-webinar/ thumbnail image Resource Bio-IT World 2023: SciBite CENtree presentation [Webinar]

Listen to our Bio-IT 2023 CENtree presentation “CENtree: Enterprise Ontology and Terminology Management System for FAIR data” by Simon Jupp

 CENtree Ontology Management

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https://scibite.com/knowledge-hub/resources/biomedical-ontologies-for-scientific-literature/ thumbnail image Resource Biomedical ontologies: Evolution and importance for scientific literature [Whitepaper]

Looking at the history of biomedical ontologies classification and how these systems have evolved to address new technology and use cases

 Expert ontology services Enterprise search partnerships

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https://scibite.com/knowledge-hub/resources/benefits-and-applications-of-democratized-ontology-management/ thumbnail image Resource Benefits and applications of democratized ontology management [Use Case]

CENtree addresses democratized ontology management challenges and enables ontologies to be used by a broader audience & range of applications.

 CENtree

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