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.

Documentation