agentsclimarketplace

Mrm transition extraction

Skill HolobiomicsLab/asb-skill-collections/packs/metabolomics/lc-ms/skills/mrm-transition-extraction

Curated, evidence-grounded skill and software-tool collections for scientific AI agents, generated by the AgenticScienceBuilder

Install
npx -y skills add HolobiomicsLab/asb-skill-collections --skill mrm-transition-extraction

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 14 stars14 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when you have raw LC-MS/MS data in MRM acquisition mode and need to systematically identify and catalog all precursor m/z and corresponding product m/z values for each transition monitored during data collection.

The file declares its own license as CC-BY-4.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.4 KB, as published. Nobody here has run it

mrm-transition-extraction

Summary

Extract precursor and product m/z value pairs from raw MRM (Multiple Reaction Monitoring) LC-MS/MS sample files using the get_PrecMZ_ProdMZ utility. This skill is essential for downstream MRM quantification workflows that require cataloging all monitored transitions with their exact mass-to-charge ratios.

When to use

Apply this skill when you have raw LC-MS/MS data in MRM acquisition mode and need to systematically identify and catalog all precursor m/z and corresponding product m/z values for each transition monitored during data collection. This is a prerequisite step before quantifying peak areas or validating transition specificity in targeted proteomics or metabolomics experiments.

When NOT to use

  • Input data is not from an MRM acquisition method (e.g., full-scan MS or data-dependent acquisition) — use full-spectrum extraction instead.
  • m/z values and transition definitions are already available in a structured annotation file — skip directly to quantification.
  • Using an older version of MRMQuant (< v2.7) where get_PrecMZ_ProdMZ may not be compatible or may not be bundled.

Inputs

  • Raw MRM sample file (LC-MS/MS instrument native format)
  • MRMQuant v2.7 installation with associated programs folder

Outputs

  • Structured table of precursor m/z and product m/z pairs (CSV or TSV format)
  • One row per MRM transition with m/z values tabulated

How to apply

Install get_PrecMZ_ProdMZ from the MRMQuant github repository into the program/associated programs folder of MRMQuant v2.7. Load the raw MRM sample file (instrument-native format from the LC-MS/MS instrument) into the utility. The tool parses the file to identify all MRM transitions encoded in the acquisition method, systematically extracting the precursor m/z and product m/z values for each transition pair. The extracted m/z pairs are output in a structured tabular format (CSV or TSV) with one row per transition, enabling validation and downstream use in quantification pipelines.

Related tools

  • MRMQuant (Parent quantification framework that provides the associated programs folder and integration environment for get_PrecMZ_ProdMZ) — github.com/kslynn128171/MRMQuant
  • get_PrecMZ_ProdMZ (Dedicated utility that reads MRM sample files and extracts precursor and product m/z values for all monitored transitions) — github.com/kslynn128171/MRMQuant

Evaluation signals

  • Output table contains one row per unique MRM transition with no duplicates or missing transitions visible in the raw file.
  • Precursor m/z and product m/z columns contain numeric values within expected range for the analyte class (e.g., 100–1500 m/z for small molecules, 500–2000 for peptides).
  • CSV or TSV output file is well-formed with consistent delimiter use and proper column headers.
  • Number of extracted transitions matches the expected count from the instrument's acquisition method or published transition list for the assay.
  • m/z values are consistent across multiple replicates of the same sample file (reproducibility check).

Limitations

  • The utility depends on correct parsing of instrument-specific raw file formats; compatibility is limited to formats supported by MRMQuant v2.7.
  • No changelog is available to track version-specific improvements or bug fixes to the extraction algorithm.
  • The tool extracts transitions as defined in the instrument method; it does not validate transition specificity or perform peak-level quality filtering.

Evidence

  • [intro] Install get_PrecMZ_ProdMZ step: "Users can install get_PrecMZ_ProdMZ in the "program/associated programs" folder to acquire precursor and product m/z values in an MRM sample file."
  • [readme] Version requirement: "Be sure to use the latest version (currently MRMQuant v2.7)."
  • [other] Extraction and output methodology: "Extract and tabulate precursor and product m/z pairs for each transition. Output the extracted m/z values in a structured table format (CSV or TSV)."
  • [other] Input file type: "Load the MRM sample file (raw data format from LC-MS/MS instrument)."

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.