ReUseData

ReUseData converts ad hoc R/Bioconductor preprocessing scripts into standardized Common Workflow Language (CWL)-based data recipes to produce portable, reproducible curated genomic datasets for reuse and integration in downstream analyses.

Key Features:

• Script-to-recipe conversion: Converts ad hoc R preprocessing scripts into standardized Common Workflow Language (CWL)-based data recipes.
• Self-contained CWL recipes: Produces self-contained CWL recipes that encapsulate preprocessing steps for portability across computing platforms.
• Reproducibility and standardization: Enforces standardized data recipes to reduce variability and improve reproducibility of preprocessing.
• Curated genomic datasets: Generates curated genomic datasets in generic forms to enhance reusability and integration.
• Downstream integration: Enables integration of CWL-based recipes and datasets into downstream analysis tools and workflows.
• R/Bioconductor focus: Targets the R/Bioconductor ecosystem and users working in R.

Scientific Applications:

• Standardized preprocessing across projects: Harmonizes preprocessing steps to enable consistent handling of genomic datasets across studies.
• Data reuse and sharing: Facilitates sharing and reuse of curated genomic datasets and preprocessing recipes across platforms and collaborators.
• Workflow interoperability: Supports incorporation of preprocessing recipes into diverse downstream analysis workflows and tools.

Methodology:

Transforms ad hoc R/Bioconductor preprocessing scripts into standardized, self-contained Common Workflow Language (CWL)-based data recipes to generate curated genomic datasets in generic forms.