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DiagnoProt

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Clusters millions of spectra and uses machine learning to shortlist high-quality unidentified mass spectra that are discriminative of different biological conditions. DiagnoProt is able to shortlist many high-quality spectra that would have been missed by a standard proteomic approach regardless of their possible biological importance. It may come to be useful in classifying disease profiles or separating resistant from non-resistant bacterial strains.

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DiagnoProt classification

DiagnoProt specifications

Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Medium
Maintained:
Yes
Interface:
Graphical user interface
Operating system:
Unix/Linux
Stability:
Stable

DiagnoProt distribution

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DiagnoProt support

Documentation

Maintainer

  • Andre Silva <>

Credits

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Publications

Funding source(s)

Supported by Fiocruz-Pasteur grant, FAPERJ BBP grant, PAPES VII, CAPES, and CNPq.

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