R-Cloud Workbench
R-Cloud Workbench enables remote R/Bioconductor-based processing, expression estimation, and quality assessment of high-throughput RNA-seq datasets using the ArrayExpressHTS pipeline on EBI's 64-bit Linux Cluster.
Key Features:
- Remote R execution and scalability: Executes R/Bioconductor on EBI's 64-bit Linux Cluster to provide scalable compute and storage for high-throughput RNA-seq analyses.
- ArrayExpressHTS pipeline integration: Integrates ArrayExpressHTS for pre-processing, expression estimation, and quality assessment of RNA-seq data.
- Bioconductor object generation: Transforms raw sequence files into standard Bioconductor R objects suitable for downstream analysis.
- Data quality assessment: Generates comprehensive reports to support thorough data quality assessment.
- Data access and extensibility: Provides access to public RNA-seq datasets in the ArrayExpress Archive and supports analysis of user-provided datasets and installation of additional R/Bioconductor packages.
Scientific Applications:
- Transcriptome profiling: Processing and expression estimation for RNA-seq-based transcriptome analyses.
- Large-scale RNA-seq projects: Analysis of large datasets requiring distributed computation and extensive memory resources.
- Comparative and integrative studies: Comparative analyses using public RNA-seq datasets from the ArrayExpress Archive.
Methodology:
Runs R/Bioconductor locally or remotely on EBI's distributed R-cloud farm, employs the ArrayExpressHTS pipeline for pre-processing, expression estimation, and quality assessment, converts raw sequence files into Bioconductor R objects, and produces quality assessment reports.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Goncalves A, Tikhonov A, Brazma A, Kapushesky M. A pipeline for RNA-seq data processing and quality assessment. Bioinformatics. 2011;27(6):867-869. doi:10.1093/bioinformatics/btr012. PMID:21233166. PMCID:PMC3051320.