Lifelike is a sophisticated platform designed to facilitate advanced knowledge management, collaboration, and data analysis, particularly tailored for the biosciences field. Here’s an overview of what the product does and its key features:
Purpose and Functionality
Lifelike is an interactive knowledge graph visualizer that enables users to organize, analyze, and collaborate on complex biological data. The platform integrates artificial intelligence (AI) and rule-based techniques to contextualize and connect user-provided data with global knowledge bases.Key Features
Data Upload and Annotation
Users can upload both structured and unstructured data, which is then annotated in real-time using NLP and rule-based techniques. This annotation process allows the data to be contextualized and linked to existing global knowledge.Knowledge Graph Visualization
The platform provides an interactive knowledge graph visualizer that clusters relationships by type, simplifying complex graphs. Users can expand graph nodes to view detailed supporting data and explore their own data within the broader context of existing knowledge.Entity Recognition
Lifelike uses AI and rule-based entity recognition to automatically identify key biological entities such as genes, proteins, diseases, chemicals, phenomena, anatomy, and species, as well as relationships between them. Users can also define custom annotations for additional key entities of interest.Knowledge Maps
The platform allows users to create Knowledge Maps, which are visual graph documents. These maps can be used informally for visual note-taking or more rigorously to create highly curated models that can be analyzed with graph algorithms. Users can drag entities, text snippets, files, and other elements onto the map, create connections between them, provide evidence, and add notes and links.Collaboration and Communication
Lifelike supports collaboration by enabling users to share and merge multiple Knowledge Maps into a comprehensive knowledge graph. This facilitates team collaboration and the integration of diverse datasets for more comprehensive analysis.Search and Analysis
The platform features full-text and graph-powered search capabilities, allowing users to find non-obvious connections, related concepts, or content based on synonyms. This search functionality is integrated throughout the application, enabling seamless discovery of relevant information.Statistical and Semantic Analysis
Lifelike performs statistical analysis against ontologies and semantic analysis on text from public databases. This allows users to transition from a big-picture view to detailed insights, enriching their structured data against knowledge from multiple sources.Benefits
- Enhanced Collaboration: Facilitates teamwork through shared Knowledge Maps and integrated data analysis.
- Deep Insights: Enables users to discover extended paths of new and previously known relationships within biological data.
- Efficient Data Management: Simplifies complex graphs and provides detailed views of supporting data.
- Advanced Analysis: Supports statistical and semantic analysis to extract valuable insights from user and global datasets.