bio-metabolomics-xcms-preprocessing
CommunityPreprocess LC-MS data with XCMS in R.
Authordailycafi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Preprocess raw LC-MS metabolomics data into a clean feature table by performing peak detection, retention-time alignment, peak grouping, and gap filling to enable robust downstream analysis.
Core Features & Use Cases
- Peak detection using CentWave or MatchedFilter for LC-MS data across samples
- Retention time alignment and grouping of features to build a consistent feature table
- Gap filling and export-ready feature matrices for untargeted metabolomics
- Use Case: Prepare data for downstream statistical analysis and metabolite annotation
Quick Start
Process mzML files with XCMS to generate a sample-by-feature table.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bio-metabolomics-xcms-preprocessing Download link: https://github.com/dailycafi/metabolism-skills/archive/main.zip#bio-metabolomics-xcms-preprocessing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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