docker4seq

docker4seq provides reproducible RNA-seq and miRNA-seq analysis workflows by encapsulating R-based processing steps within Docker containers to ensure consistent computational environments.

Key Features:

• Reproducibility: Encapsulates all workflow components within Docker containers to minimize variability from system libraries and tool versions.
• Docker Integration: Defines workflow steps as Docker images that contain pre-configured software and dependencies in isolated environments.
• R Package Implementation: Implements workflows as an R package containing functions that execute RNA-seq and miRNA-seq analyses following a standardized structure.
• RBP Standards Compliance: Adheres to Reproducible Bioinformatics Project (RBP) standards for workflow structure and consistency.
• Open-source Model: Provides R-based workflows and Docker images under an open-source model to allow inspection and extension of computational components.

Scientific Applications:

• Genomics: Processing RNA-seq and miRNA-seq data for genomic studies that require consistent computational environments.
• Transcriptomics: Enabling transcriptome analyses based on RNA-seq and miRNA-seq data across different computing setups.
• Epigenetics: Supporting studies that integrate RNA-seq and miRNA-seq data within epigenetic research workflows.

Methodology:

Workflow modules are integrated into Docker images using a base Ubuntu image developed by the Reproducible Bioinformatics Project (RBP), and workflows are implemented in R following a predefined skeleton function to maintain consistency.