pyopenms

Maintained by k-dense-ai

Complete mass spectrometry analysis platform. Use for proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free and isobaric quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spectral comp

Current version: Unknown
License: 3 clause BSD license
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate pyopenms for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider pyopenms when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

pyopenms is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: Complete mass spectrometry analysis platform. Use for proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free and isobaric quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spectral comp When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add k-dense-ai/scientific-agent-skills --skill pyopenms -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.