DiagnoProt: a tool for discovery of new molecules by mass spectrometry | Zendy

André R.F. Silva | Zendy; Diogo Borges Lima | Zendy; Alejandro Leyva | Zendy; Rosario Durán | Zendy; Carlos Batthyány | Zendy; Priscila Ferreira de Aquino | Zendy; Juliana C Leal | Zendy; Jimmy Rodriguez Murillo | Zendy; Gilberto B. Domont | Zendy; Marlon Dias Mariano Santos | Zendy; Julia ChamotRooke | Zendy; Valmir C. Barbosa | Zendy; Paulo C. Carvalho | Zendy

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DiagnoProt: a tool for discovery of new molecules by mass spectrometry

Author(s) -

André R.F. Silva,

Diogo Borges Lima,

Alejandro Leyva,

Rosario Durán,

Carlos Batthyány,

Priscila Ferreira de Aquino,

Juliana C Leal,

Jimmy Rodriguez Murillo,

Gilberto B. Domont,

Marlon Dias Mariano Santos,

Julia ChamotRooke,

Valmir C. Barbosa,

Paulo C. Carvalho

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx093

Subject(s) - mass spectrometry , chemistry , computer science , computational biology , chromatography , biology

Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. We present DiagnoProt, 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.

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