SePIA
SePIA provides a standardized computational workflow for processing, integrating, and analyzing large-scale RNA sequencing data, including small RNA and complementary RNA datasets, to enable consistent downstream interpretation.
Key Features:
- Comprehensive workflow architecture: A dynamic pipeline architecture capable of individually analyzing and integrating small RNA and RNA data to ensure consistency across processing stages.
- Integration with established tools: Supports execution of over 20 commonly used RNA-seq tools via an established workflow engine.
- Docker-based containerization: Implemented using Docker to provide reproducible execution environments.
- Resource management: The underlying pipeline engine supports computational resource management to optimize performance.
- Modular design for customization: Modular components allow workflows to be customized for specific experimental needs while preserving overall structure.
- HTML reporting: Analysis results are organized into a comprehensive HTML report.
Scientific Applications:
- Small RNA and complementary RNA studies: Processing and integration of small RNA and complementary RNA datasets for downstream analysis.
- Breast cancer RNA-seq analysis: Applied to analyses of three breast cancer datasets to extract biological insights from complex sequencing data.
Methodology:
SePIA executes over 20 RNA-seq tools using an established workflow engine, is implemented with Docker containers, uses a pipeline engine for computational resource management, and produces a comprehensive HTML report.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequence analysis
Inputs
Publications
Icay K, Chen P, Cervera A, Rantanen V, Lehtonen R, Hautaniemi S. SePIA: RNA and small RNA sequence processing, integration, and analysis. BioData Mining. 2016;9(1). doi:10.1186/s13040-016-0099-z. PMID:27213017. PMCID:PMC4875694.