Chemistry BooksSpectroMetry Books

Algorithmic Mass Spectrometry

Algorithmic Mass Spectrometry

Algorithmic Mass Spectrometry

This advanced PDF explores mass spectrometry from the computational and algorithmic perspective. Peptide de novo sequencing, database searching, and comparing mass spectra using significance testing, such as p-values and E-values, are discussed in this note. It also covers isotope distributions and fragmentation patterns to shed light on the mathematical aspects behind its analysis of mass spectrometry data. It reaches more complex dimensions and discusses issues like glycan sequencing, machine learning, and decomposition of the isotope pattern. Finally, the note is an invaluable resource for anyone interested in mass spectrometry and computational methods, providing a foundation for yet more complicated applications in bioinformatics and structural biology.

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s253 Pages
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