https://github.com/dev-ev/isobaric-correlations

Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set
https://github.com/dev-ev/isobaric-correlations

correlation-matrix escherichia-coli isobaric-quantification pearson-correlation-coefficient proteomics proteomics-data-analysis tmt-data-analysis

Last synced: about 4 hours ago
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Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set

• Host: GitHub
• URL: https://github.com/dev-ev/isobaric-correlations
• Owner: dev-ev
• License: mit
• Created: 2021-04-05T20:22:46.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-15T19:13:46.000Z (over 2 years ago)
• Last Synced: 2023-10-20T06:36:14.662Z (about 1 year ago)
• Topics: correlation-matrix, escherichia-coli, isobaric-quantification, pearson-correlation-coefficient, proteomics, proteomics-data-analysis, tmt-data-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 2.9 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# isobaric-correlations

Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set.

Developed by Proteome Proteomicsson 101 with educational purposes.

The notebook was created in Jupyter Lab on Ubuntu 20.04 running Python 3.8. The workflow depends on third-party libraries that can be installed via pip:


pip install scipy numpy pandas matplotlib seaborn

  

 Proteomic data set has been reported in [the article by Hultqvist *et al*](https://www.nature.com/articles/s41559-018-0568-5). LC-MS files have been [deposited at PRIDE archive](https://www.ebi.ac.uk/pride/archive/projects/PXD005236), and the relative protein abundance table from the proteomic analysis can be found in this GitHub repository.