Babysitter perseus-statistical-analyzer
Perseus statistical analysis skill for proteomics data analysis and visualization
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/bioinformatics/skills/perseus-statistical-analyzer" ~/.claude/skills/a5c-ai-babysitter-perseus-statistical-analyzer && rm -rf "$T"
manifest:
library/specializations/domains/science/bioinformatics/skills/perseus-statistical-analyzer/SKILL.mdtags
source content
Perseus Statistical Analyzer Skill
Purpose
Enable Perseus statistical analysis for proteomics data analysis and visualization.
Capabilities
- Missing value imputation
- Normalization strategies
- Statistical testing (t-test, ANOVA)
- Hierarchical clustering
- PCA and enrichment analysis
- Publication-quality plots
Usage Guidelines
- Impute missing values appropriately
- Normalize data before statistical analysis
- Apply appropriate statistical tests
- Visualize results with clustering and PCA
- Generate publication-quality figures
- Document normalization and imputation methods
Dependencies
- Perseus
- MSstats
- limma
Process Integration
- Mass Spectrometry Proteomics Pipeline (ms-proteomics-pipeline)
- Multi-Omics Data Integration (multi-omics-integration)