RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor.
Simone PallottaSilvia CascianelliMarco MasseroliPublished in: BMC Bioinform. (2022)
Keyphrases
- big data
- metadata
- data intensive
- digital libraries
- metadata standards
- social computing
- unstructured data
- data analysis
- data management
- data intensive computing
- cloud computing
- heterogeneous data
- data processing
- business intelligence
- social media
- big data analytics
- high volume
- digital data
- data warehousing
- commodity hardware
- dublin core
- vast amounts of data
- linked open data
- massive data
- learning objects
- web services
- databases
- data integration
- data warehouse
- knowledge discovery
- computing technologies
- information retrieval
- data science
- data driven decision making
- social networks
- machine learning
- real world