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.

Documentation