BiocWorkflowTools
BiocWorkflowTools generates reproducible Bioconductor workflows by converting R Markdown documents into LaTeX manuscripts compliant with F1000Research Bioconductor Gateway submission requirements.
Key Features:
- R Markdown Workflow Authoring: Enables development of executable analysis workflows using R Markdown within the Bioconductor environment.
- Automated LaTeX Conversion: Converts R Markdown workflow documents into LaTeX format compatible with F1000Research Bioconductor Gateway publication standards.
- Manuscript Structure Handling: Manages formatting elements including floating figures, cross-references, literature citations, and author metadata during document conversion.
- Reproducible Workflow Integration: Maintains consistency between executable HTML workflows and corresponding LaTeX manuscripts generated for publication.
Scientific Applications:
- Reproducible Bioinformatics Workflow Publication: Supports development and dissemination of reproducible computational workflows within the Bioconductor ecosystem.
- Computational Method Documentation: Enables publication-ready documentation of bioinformatics analyses while preserving executable analysis code.
- Transparent Research Reporting: Facilitates integration of computational workflows with peer-reviewed manuscripts to improve reproducibility of bioinformatics studies.
Methodology:
BiocWorkflowTools processes R Markdown workflow documents and converts them into LaTeX manuscripts while preserving formatting elements such as figures, cross-references, citations, and metadata required for F1000Research Bioconductor Gateway submission.
Topics
Collections
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 6/23/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Smith ML, Oleś AK, Huber W. Authoring Bioconductor workflows with BiocWorkflowTools [version 1; peer review: 2 approved with reservations]. F1000Research. 2018;7:431. doi:10.12688/f1000research.14399.1.