Auto-deconvolution and molecular networking of gas chromatography-mass spectrometry data.
Nat Biotechnol
; 39(2): 169-173, 2021 02.
Article
em En
| MEDLINE
| ID: mdl-33169034
We engineered a machine learning approach, MSHub, to enable auto-deconvolution of gas chromatography-mass spectrometry (GC-MS) data. We then designed workflows to enable the community to store, process, share, annotate, compare and perform molecular networking of GC-MS data within the Global Natural Product Social (GNPS) Molecular Networking analysis platform. MSHub/GNPS performs auto-deconvolution of compound fragmentation patterns via unsupervised non-negative matrix factorization and quantifies the reproducibility of fragmentation patterns across samples.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Metabolômica
/
Cromatografia Gasosa-Espectrometria de Massas
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Nat Biotechnol
Assunto da revista:
BIOTECNOLOGIA
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos