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Peptide identification by mass spectrometry relies on the interpretation of fragmentation spectra based on the m/z pattern, relative intensities, and retention time (RT). Given a proteome, we wondered how many peptides generate very similar fragmentation spectra with current MS methods. MSCI is a Python package built to assess the information content of peptide fragmentation spectra, we aimed calculating an information-content index for all peptides in a given proteome would enable us to design data acquisition and data analysis strategies that generate and prioritize the most informative fragment ions to be queried for peptide quantification.

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Installation

You can install MSCI directly using pip, which will also handle the necessary dependencies.

pip install MSCI==0.2.3

Implementation and example

Open the Notebook: Click on the following Tutorial_google_colab

Contribution

If you would like to contribute to this project, feel free to fork the repository on GitHub and submit a pull request.

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