openmedical/registry
← registry

SuperQuantNode

imported

software/superquantnode

Complementary Finder and MSn deconvolution processing nodes for Thermo Proteome Discoverer 2.x.

Machine-generated from the listed sources and not yet reviewed by a human.

SuperQuantNode project image
GitHub preview card for caetera/SuperQuantNode. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
LGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
mass-spectrometry · proteome-discoverer · proteomics
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • isobaric-inspection-jupytermass-spectrometry · proteome-discoverer · proteomics

    Inspecting the quality of isobaric labeling proteomic data in a Jupyter notebook. Data output from Proteome Discoverer.

  • Patpatproteome-discoverer · proteomics

    Patpat: A Python-based framework for searching public proteomics datasets

  • Aerithmass-spectrometry · proteomics

    R Package for Isotopic Mass Spectra Analysis in Proteomic and Metabolomic Stable Isotope Probing

  • alphabasemass-spectrometry · proteomics

    Infrastructure of AlphaX ecosystem

  • alphadiamass-spectrometry · proteomics

    modular & open DIA search

  • alphamapmass-spectrometry · proteomics

    An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

sources
  1. api.github.com/repos/caetera/SuperQuantNode
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2017-03-24, 4 stars, license reported as LGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/23.json→ .entries["superquantnode"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.