Data & ReproProteomics & MetabolomicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
BI

bio-metabolomics-xcms-preprocessing

Maintainer FreedomIntelligence · Last updated April 1, 2026

XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.

OpenClawNanoClawAnalysisReproductionbio-metabolomics-xcms-preprocessing🧬 bioinformatics (gptomics bio-* suite)bioinformatics — proteomics & metabolomicsxcms3

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-metabolomics-xcms-preprocessing

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Requires Bioconductor 3.18+ with xcms 4.0+ and MSnbase 2.28+.
  • raw_files <- list.files('raw_data', pattern = '\\.(mzML|mzXML)$', full.names = TRUE).

Source Doc

Excerpt From SKILL.md

Load Raw Data

Goal: Import raw LC-MS files into R for downstream peak detection and alignment.

Approach: Read mzML/mzXML files into an OnDiskMSnExp object using MSnbase for memory-efficient access.

"Process my raw LC-MS data into a feature table" → Detect chromatographic peaks, align retention times across samples, group corresponding peaks, and fill missing values to produce a sample-by-feature intensity matrix.

library(xcms)
library(MSnbase)

## Create OnDiskMSnExp object

raw_data <- readMSData(raw_files, mode = 'onDisk')

## Check data

raw_data
table(msLevel(raw_data))

Use cases

  • Use when processing raw LC-MS data into a feature table for untargeted metabolomics.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • metabolite-annotation - Identify metabolites
  • normalization-qc - Normalize feature table
  • statistical-analysis - Differential analysis

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