
Bioconductor Microbiome
Utilities for microbiome analysis.
Install
npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-microbiome -g -a claude-code -y- Repository
- bioMate-AI/biomate-bioconductor-kb793
- Category
- Engineering
- Updated
- 5mo ago
- License
- See repository
- Context cost
- Lightabout 747 tokens
- Runs scripts
- No, instructions only
What it does
Utilities for microbiome analysis.
microbiome
Dependencies & Environment
Package-intrinsic requirements from the Bioconductor landing page, reproduce in any R environment.
- Version: 1.34.0 · Bioconductor: 3.23 · R: ≥ 4.6
- Depends: phyloseq, ggplot2
- Imports: Biostrings, compositions, dplyr, reshape2, Rtsne, scales, tibble, tidyr, vegan
- Install:
BiocManager::install("microbiome")
When to Use
- Facilitating
phyloseq-based exploration and analysis of taxonomic profiling data. - Performing manipulation, statistical analysis, and visualization of taxonomic profiling data.
- Standardizing analyses and developing best practices for targeted microbiome analysis.
When NOT to Use
- For new projects or multi-omics data analysis, use the
miaverseproject instead, asmicrobiomedevelopment has been discontinued. - For workflows based on the new
TreeSummarizedExperimentdata container, usemiaversepackages instead ofmicrobiome.
Data Requirements
- Taxonomic profiling data in the independent
phyloseqdata format.
Key Parameters
- No parameters are explicitly detailed in the provided vignette text.
Best Practices
- Transition to the
miaverseproject andTreeSummarizedExperimentdata container for added capabilities in multi-omics data analysis. - Use the package to facilitate scalable exploration of population cohorts and targeted case-control studies.
- Rely on the independent
phyloseqpackage and data structures for R-based microbiome analysis.
