Welcome to DiagnoProt
Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. DiagnoProt is an integrated computational environment that can efficiently cluster millions of spectra and use machine learning to shortlist high-quality unidentified mass spectra that are discriminative of different biological conditions.
View a video demonstrating DiagnoProt in action!
André R F Silva*, Diogo B Lima*, Alejandro Leyva,
Rosario Duran, Carlos Batthyany, Priscila F Aquino, Juliana C Leal,
Jimmy E Rodriguez, Gilberto B Domont, Marlon D M Santos, Julia Chamot-Rooke,
Valmir C Barbosa, and Paulo C Carvalho,
“DiagnoProt: a tool for discovery of new molecules by mass spectrometry”,
Bioinformatics (2017) 33 (12): 1883-1885.
Diogo B Lima, André R F Silva, Mathieu Dupré, Marlon D M Santos,
Milan A Clasen, Louise U Kurt, Priscila F Aquino, Valmir C Barbosa,
Paulo C Carvalho, Julia Chamot-Rooke
“Top-Down Garbage Collector: a tool for selecting high-quality top-down proteomics mass spectra”,
Bioinformatics (2019).