https://github.com/dev-ev/julia-vs-python-ms-scripting

Performance of Julia and Python for reading and matching mass spectrometry data
https://github.com/dev-ev/julia-vs-python-ms-scripting

benchmarking julia mass-spectrometry numpy performance-testing proteomics-data-analysis python

Last synced: about 1 month ago
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Performance of Julia and Python for reading and matching mass spectrometry data

• Host: GitHub
• URL: https://github.com/dev-ev/julia-vs-python-ms-scripting
• Owner: dev-ev
• License: mit
• Created: 2021-05-21T18:46:46.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-06-19T19:13:06.000Z (over 2 years ago)
• Last Synced: 2023-10-20T06:36:15.335Z (about 1 year ago)
• Topics: benchmarking, julia, mass-spectrometry, numpy, performance-testing, proteomics-data-analysis, python
• Language: Jupyter Notebook
• Homepage:
• Size: 959 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# julia-vs-python-ms-scripting

## Performance of Python 3.11 against Python 3.10 and Julia for reading and matching mass spectrometry data

The example MGF data file is provided in this repository, it contains 1000 tandem mass spectra from a Baker's yeast sample. The MS data example comes from the Public Domain submission [PXD021218 on PRIDE online repository website](https://www.ebi.ac.uk/pride/archive/projects/PXD021218/).