bio-metabolomics-targeted-analysis
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
npx skills add majiayu000/claude-skill-registry --skill targeted-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Targeted Metabolomics Analysis ## Skyline Data Export Processing ```r library(tidyverse) # Load Skyline export skyline_data <- read.csv('skyline_export.csv') # Expected columns: Replicate, Peptide/Molecule, Area, Concentration (for standards) colnames(skyline_data) # Filter to quantifier transitions quant_data <- skyline_data %>% filter(Quantitative == TRUE | is.na(Quantitative)) # Pivot to matrix format intensity_matrix <- quant_data %>% select(Replicate, Molecule, Area) %>% pivot_wider(names_from = Replicate, values_from = Area) ``` ## Standard Curve Fitting ```r # Standard curve data standards <- data.frame( concentration = c(0, 1, 5, 10, 50, 100, 500, 1000), # nM area = c(100, 5000, 25000, 50000, 240000, 480000, 2300000, 4500000) ) # Linear regression (log-log for wide range) fit_linear <- lm(area ~ concentration, data = standards) fit_loglog <- lm(log10(area) ~ log10(concentration + 1), data = standards) # Weighted linear regression (1/x^2 weighting) fit_weighted <- lm(area ~ concentration, data = standards, weights = 1 / (standards$concentration + 1)^2) # R-squared summary(fit_linear)$r.squared summary(fit_weighted)$r.squared # Plot standard curve ggplot(standards, aes(x =
- Skyline Data Export Processing
- Standard Curve Fitting
- Calculate Concentrations
- Internal Standard Normalization
- Method Validation Metrics
- Limit of Detection/Quantification
- Multi-Compound Analysis
- Python Workflow
- Quality Control
- Export Results
- Related Skills
What does the bio-metabolomics-targeted-analysis skill do?
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill targeted-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.