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Chemantics

Name: Chemantics
Author: Chemantics

This platform enables the development of extensive, entity-centered knowledge graphs that integrate and connect scientific data related to molecules, proteins, cell lines, and assays, transforming fragmented datasets into cohesive, semantically rich models. It addresses the challenge of reconciling diverse biological and chemical information by explicitly capturing relationships, context, provenance, and lineage during data ingestion, facilitating more accurate downstream analysis, discovery, and decision-making for researchers, data scientists, and organizations involved in scientific research, drug discovery, and biomedical innovation.

Chemantics can be found in Knowledge Management & Wiki Software categories.

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Consumer Type: B2B

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Chemantics Main Features

Traceability
Every experiment, result, and decision shows what you are actually studying.
Core Entities
It makes molecules, proteins, cell lines, and assays the main parts of your data, not just extra information.
Data Connection
Chemantics connects chemistry and biology data around these key entities to help discovery.
From Fragmented Data
It changes disorganized data into a clear, entity-focused knowledge graph.
Explicit Relationships
Chemantics clearly shows the relationships between data from the start, not after the data is stored.
Automatic Relationship Building
The system automatically adds links, context, and history to the data.
Entity-Centered Knowledge Graph
Chemantics builds a knowledge graph focused on important scientific entities like molecules and proteins.
Trusted by Leading Organizations
Many top research organizations trust Chemantics for their scientific data needs.

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Technologies Used

Wix Content Delivery Network (CDN) HTML5

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