Your browser doesn't support javascript.
loading
Glycowork: A Python package for glycan data science and machine learning.
Thomès, Luc; Burkholz, Rebekka; Bojar, Daniel.
Afiliação
  • Thomès L; Department of Chemistry and Molecular Biology and Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 41390 Gothenburg, Sweden.
  • Burkholz R; Department of Biostatistics, Harvard School of Public Health, Boston, 02115 MA, USA.
  • Bojar D; Department of Chemistry and Molecular Biology and Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 41390 Gothenburg, Sweden.
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/.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Software / Aprendizado de Máquina / Ciência de Dados Idioma: En Revista: Glycobiology Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Software / Aprendizado de Máquina / Ciência de Dados Idioma: En Revista: Glycobiology Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia