R Cloud Workbench

R Cloud Workbench provides remote execution of R and Bioconductor on EMBL-EBI computational infrastructure to perform large-scale bioinformatics analyses of genomics, proteomics, and systems biology data.


Key Features:

  • Remote access to R/Bioconductor: Allows execution of R and Bioconductor on EMBL-EBI high-performance computing resources for complex, compute-intensive bioinformatics workflows.
  • Integration with EMBL-EBI public data resources: Provides direct access to EMBL-EBI public biological datasets from within R/Bioconductor sessions to support analyses that combine institutional data with user workflows.
  • Embassy Cloud service support: Operates within the Embassy Cloud virtual environment to enable scalable execution of large-scale analyses alongside EMBL-EBI datasets.

Scientific Applications:

  • High-throughput data analysis: Enables statistical analysis, visualization, and custom workflow development for large-scale biological datasets using R and Bioconductor.
  • Genomics: Supports analyses of genomics datasets by combining R/Bioconductor tools with EMBL-EBI public genomic resources.
  • Proteomics: Supports proteomics data analysis using R/Bioconductor within the EMBL-EBI computational environment.
  • Systems biology: Facilitates systems-level analyses by integrating diverse biological datasets and R/Bioconductor-based statistical methods.

Methodology:

The platform leverages EMBL-EBI high-performance computing infrastructure, increased storage capacity (e.g., 75 petabytes as of December 2015), and the Resource Description Framework platform to enhance interoperability and accessibility for managing and analyzing diverse biological data.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/29/2015
Last Updated:
11/25/2024

Operations

Publications

Cook CE, Bergman MT, Finn RD, Cochrane G, Birney E, Apweiler R. The European Bioinformatics Institute in 2016: Data growth and integration. Nucleic Acids Research. 2015;44(D1):D20-D26. doi:10.1093/nar/gkv1352. PMID:26673705. PMCID:PMC4702932.

Documentation