Glycowork: A Python package for glycan data science and machine learning.
Glycobiology
; 31(10): 1240-1244, 2021 11 18.
Article
em En
| MEDLINE
| ID: mdl-34192308
While glycans are crucial for biological processes, existing analysis modalities make it difficult for researchers with limited computational background to include these diverse carbohydrates into workflows. Here, we present glycowork, an open-source Python package designed for glycan-related data science and machine learning by end users. Glycowork includes functions to, for instance, automatically annotate glycan motifs and analyze their distributions via heatmaps and statistical enrichment. We also provide visualization methods, routines to interact with stored databases, trained machine learning models and learned glycan representations. We envision that glycowork can extract further insights from glycan datasets and demonstrate this with workflows that analyze glycan motifs in various biological contexts. Glycowork can be freely accessed at https://github.com/BojarLab/glycowork/.
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Base de dados:
MEDLINE
Assunto principal:
Polissacarídeos
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Software
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Aprendizado de Máquina
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Ciência de Dados
Idioma:
En
Revista:
Glycobiology
Assunto da revista:
BIOQUIMICA
Ano de publicação:
2021
Tipo de documento:
Article
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Suécia