Ontology Mapping

Facilitate seamless data exchange, data reuse and interoperability

Ontology Mapping is an approach used to identify information which is semantically related. It assists in correlating information from different sources, which may conflict in content, structure or value. The mapping between ontologies expands coverage across large domains such as disease.

Molecular Connections’ Ontology Mapping enables data analytics through interoperability and integration. We offer customized solutions that use AI and ML to help with drug discovery and development.

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Database Content Development

Database Content Development

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Gold Standard Datasets

Gold Standard Datasets

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Ontology Development

Ontology Development

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Ontology Transformation

Ontology Transformation

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Entity Extraction/Data Labelling

Entity Extraction/Data Labelling

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Data Lake Consulting

Data Lake Consulting

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NetPro™

NetPro™ is a comprehensive bio-molecular interaction database, which comprises of protein-protein interactions and protein-small molecule interactions.

GeneNet™

Molecular Connections’ Gene-disease Networking (MC-GeneNetTM) platform employs a range of in silico methodologies using internally developed text mining engine

CliPro™

CliPro™ is a comprehensive, easy to access knowledgebase of proteins in various biological sources that reflects alterations between normal versus diseased conditions.

XTractor™

XTractor™ is a platform for discovery & analysis of published biomedical facts. The only knowledgebase which provides “manually” annotated facts from PubMed.ns.

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