DiagnoProt: a tool for discovery of new molecules by mass spectrometry.
Bioinformatics
; 33(12): 1883-1885, 2017 Jun 15.
Article
en En
| MEDLINE
| ID: mdl-28186229
ABSTRACT
MOTIVATION 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. RESULTS:
We exemplify the use of DiagnoProt by shortlisting 4366 high-quality unidentified tandem mass spectra that are discriminative of different types of the Aspergillus fungus. AVAILABILITY AND IMPLEMENTATION DiagnoProt, a demonstration video and a user tutorial are available at http//patternlabforproteomics.org/diagnoprot . CONTACT andrerfsilva@gmail.com or paulo@pcarvalho.com. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
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Análisis de Secuencia de Proteína
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Proteómica
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Espectrometría de Masas en Tándem
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Aprendizaje Automático
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2017
Tipo del documento:
Article
País de afiliación:
Brasil