bio-metabolomics-msdial-preprocessing

Name: bio-metabolomics-msdial-preprocessing
Availability: InStock
Author: dailycafi

Automates MS-DIAL data preprocessing to generate analysis-ready feature tables for R or Python.

7|Updated Apr 5, 2026

Search Tags:#metabolomics #alignment #preprocessing #feature-table #peak-detection #msdial

Ready to run

npx skills add https://github.com/dailycafi/metabolism-skills --skill bio-metabolomics-msdial-preprocessing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bio-metabolomics-msdial-preprocessing
Source: https://github.com/dailycafi/metabolism-skills/tree/main/skills/metabolomics-analysis/msdial-preprocessing
Command: npx skills add https://github.com/dailycafi/metabolism-skills --skill bio-metabolomics-msdial-preprocessing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MS-DIAL preprocessing often requires manual setup to translate raw outputs into analysis-ready data; this Skill automates and standardizes that workflow.

Core Features & Use Cases

Automates peak detection, alignment, annotation, and export of MS-DIAL results into tidy feature tables for downstream analysis in R or Python.
Supports GUI-based workflows and console-mode processing for batch runs, ensuring reproducibility across projects.
Use Case: A metabolomics project with MS-DIAL outputs wants a clean feature matrix ready for downstream stats and pathway analysis.

Quick Start

Run MS-DIAL preprocessing workflow on your MS-DIAL outputs to generate an analysis-ready feature table.

Frequently Asked Questions about bio-metabolomics-msdial-preprocessing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert MS-DIAL outputs to a feature table for R or Python?▼

MS-DIAL outputs can be converted to a tidy feature table by automating peak detection, alignment, and annotation, resulting in an analysis-ready matrix for R or Python pipelines.

What is MS-DIAL preprocessing for LC-MS metabolomics data?▼

MS-DIAL preprocessing for LC-MS metabolomics involves peak detection, alignment, and annotation to transform raw outputs into reproducible, tidy matrices suitable for downstream statistical analysis.

Can I run MS-DIAL batch processing from the console without the GUI?▼

Yes, MS-DIAL batch processing supports console-mode workflows alongside GUI-based operations, ensuring reproducible processing of LC-MS metabolomics data across multiple projects without manual GUI setup.

Does this MS-DIAL preprocessing workflow enforce reproducibility for metabolomics projects?▼

Yes, MS-DIAL preprocessing enforces reproducibility by documenting parameter usage and standardizing the workflow, ensuring consistent peak alignment and annotation across different LC-MS metabolomics project batches.

What's the best way to automate peak alignment and annotation in MS-DIAL?▼

The best way to automate peak alignment and annotation in MS-DIAL is using a standardized preprocessing workflow that exports tidy feature tables, enforcing documented parameter usage for reproducible metabolomics analysis.