SIBiLS
SIBiLS provides semantically enriched indexing and customizable information retrieval of biomedical literature to support literature triage and biocuration of genes and gene products.
Key Features:
- Customizable search engines: Executes searches using both keywords and mapped biomedical entities from standardized and legacy vocabularies.
- Semantic enrichment and entity mapping: Maps nearly 2 billion biomedical entities to annotate and semantically enrich literature content.
- Curation workflow support: Supplies personalized literature triage engines tailored for biocuration of genes and gene products.
- API access and scalability: Exposes services via RESTful APIs and supports scalable deployment with MongoDB and Elasticsearch.
- Literature coverage: Indexes MEDLINE and PubMed Central Open Access content for retrieval and analysis.
- Update frequency: Incorporates new content through daily updates.
Scientific Applications:
- Literature triage: Prioritizes and retrieves relevant publications for curation and review workflows.
- Gene and gene product curation: Supports identification and aggregation of literature evidence for genes and gene products.
- Entity-centric literature mining: Enables retrieval and analysis focused on biomedical entities mapped across literature.
- Large-scale literature integration: Facilitates integration of indexed literature into big-data projects using MongoDB and Elasticsearch.
Methodology:
Semantic enrichment by mapping biomedical entities from standardized and legacy vocabularies; indexing MEDLINE and PubMed Central Open Access; service access via RESTful APIs; storage and search scalability using MongoDB and Elasticsearch; daily update cadence.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 11/5/2024
Operations
Data Inputs & Outputs
Data retrieval
Publications
Gobeill J, Caucheteur D, Michel P, Mottin L, Pasche E, Ruch P. SIB Literature Services: RESTful customizable search engines in biomedical literature, enriched with automatically mapped biomedical concepts. Nucleic Acids Research. 2020;48(W1):W12-W16. doi:10.1093/nar/gkaa328. PMID:32379317. PMCID:PMC7319474.