Kibio
Kibio provides scalable, Elasticsearch-backed storage and search for heterogeneous biological and multi-omics datasets to enable integrative analysis and standardized data exchange.
Key Features:
- Scalability and Adaptability: Built on Elasticsearch to handle large volumes of diverse biological data with scalable search and storage capabilities.
- Uniform Data Exchange Model: Applies a consistent model for data exchange to organize datasets into a standardized, interoperable format.
- Decentralized, Searchable Organization: Structures data in a decentralized and searchable manner to facilitate integration and cross-dataset queries.
- Programmatic Access via KibioR: Integrates with the KibioR package to support programmatic pull, push, and search operations against Kibio datasets and Elasticsearch-based databases.
Scientific Applications:
- Multi-omics integration: Enables combining heterogeneous omics datasets for integrative analyses across molecular layers.
- Drug characterization: Supports data aggregation and search workflows used in drug characterization studies.
- miRNA analysis: Facilitates storage and retrieval of miRNA-related datasets for downstream analysis.
- Pathway identification: Supports querying and integration of datasets used in pathway identification and analysis.
Methodology:
Kibio employs Elasticsearch as its core technology, implements a uniform data exchange model, organizes data into a decentralized and searchable structure, and integrates with KibioR for programmatic pull/push/search of Elasticsearch-based databases.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- library, workflow
- Programming Languages:
- R
- Added:
- 10/4/2021
- Last Updated:
- 10/4/2021
Operations
Publications
Ongaro-Carcy R, Scott-Boyer M, Dessemond A, Belleau F, Leclercq M, Périn O, Droit A. KibioR & Kibio: a new architecture for next-generation data querying and sharing in big biology. Bioinformatics. 2021;37(17):2706-2713. doi:10.1093/bioinformatics/btab157. PMID:33751043.