GeneView
GeneView provides semantic search and entity-annotated retrieval of biomedical literature by leveraging an annotated corpus of PubMed (MEDLINE) abstracts and PubMed Central full texts to facilitate identification and analysis of genes, chemicals, diseases, and protein-protein interactions.
Key Features:
- Semantic Search Capabilities: Uses semantic technology and advanced text-mining to recognize mentions across 10 distinct entity classes, including genes, chemicals, diseases, and protein-protein interactions.
- Comprehensive Annotations: Contains annotations for over 194 million entities spanning 10 classes, covering approximately 21 million citations with 271,000 full-text articles and enabling searches by unique database identifiers.
- Ranking and Filtering Options: Ranks and filters documents based on the frequency of specific entity mentions to improve specificity compared to keyword-based searches.
- State-of-the-Art Text-Mining Tools: Employs text-mining tools to identify and annotate biomedical entities and to detect complex relationships such as protein-protein interactions.
Scientific Applications:
- Gene identification: Facilitates recognition and retrieval of gene mentions and mapping to unique database identifiers for gene-centric research.
- Chemical analysis: Enables retrieval and aggregation of literature referring to chemical entities for compound- and chemistry-focused studies.
- Disease study: Supports disease-focused literature searches through disease entity annotations.
- Interaction mapping: Supports extraction and mapping of protein-protein interactions and other entity relationships from text.
- Hypothesis generation and data mining: Enables precise literature retrieval for hypothesis generation, data mining, and synthesis of biomedical insights based on entity mentions and identifiers.
Methodology:
Construction of semi-structured representations of biomedical texts via comprehensive annotation processes that integrate state-of-the-art text-mining tools to identify and classify entities.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/1/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Thomas P, Starlinger J, Vowinkel A, Arzt S, Leser U. GeneView: a comprehensive semantic search engine for PubMed. Nucleic Acids Research. 2012;40(W1):W585-W591. doi:10.1093/nar/gks563. PMID:22693219. PMCID:PMC3394277.