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TMT_analysis_examples

imported

software/tmt-analysis-examples

Examples of TMT data analyses using R. Links to notebooks and repositories. Also a few spectral counting analyses.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ipynb · jupyter-notebook · mass-spectrometry · proteomics · proteomics-data · r · tmt · tmt-data-analyses
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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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    An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.

  • alphaquantmass-spectrometry · proteomics · tmt

    An open-source Python package for accurate and sensitive peptide and protein quantification.

  • quantmsmass-spectrometry · proteomics · tmt

    Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

  • pmultiqcmass-spectrometry · proteomics · proteomics-data

    A library for QC report based on MultiQC framework

  • ursgalmass-spectrometry · proteomics · proteomics-data

    Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis

  • MSConnectproteomics · proteomics-data

    MSConnect is a Web-based integrated plateform to combine data storage/backup, process and visualization of MS-based Proteomics data.

sources
  1. api.github.com/repos/pwilmart/TMT_analysis_examples
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-05-27, 22 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/37.json→ .entries["tmt-analysis-examples"]

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