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LCMSpector

imported

software/lcmspector

📊 User-friendly mass spectrometry and chromatography data analysis app with native UI, graphing, quantification, MS/MS and data export capabilities

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

LCMSpector project image
GitHub preview card for MateuszFido/LCMSpector. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
analytical-chemistry · analyze · data · data-analysis · data-science · glycomics · lc-ms · liquid-chromatography · mass-spectrometry · metabolomics · mzml · mzml-files · open-source · proteomics · proteomics-data-analysis
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.

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    🧬 BioMCP — 生物信息学 MCP 服务器:PubMed/NCBI/BLAST/PDB/UniProt/富集分析,让任意 AI 助手直连生物数据库。Open-source bioinformatics MCP server.

  • glycoquantglycomics · mass-spectrometry · proteomics

    라벨 N-글리칸 LC-MS 자동 동정·정량 (Thermo .raw → Excel, Xcalibur 불필요) | Automated N-glycan identification & quantification

  • pymzMLmass-spectrometry · mzml-files

    pymzML - an interface between Python and mzML Mass spectrometry Files

  • mzrecalmass-spectrometry · mzml · proteomics

    Recalibrate Mass Spectrometry data in mzML format

  • OpenMassSpecmass-spectrometry · mzml · proteomics

    High-performance Rust + Python readers for mass spectrometry / proteomics raw data.

sources
  1. api.github.com/repos/MateuszFido/LCMSpector
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-30, 6 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/25.json→ .entries["lcmspector"]

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