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Genomics to Notebook (g2nb): extending the electronic notebook to address the challenges of bioinformatics analysis.
Reich, Michael; Tabor, Thorin; Liefeld, John; Joshi, Jayadev; Kim, Forrest; Thorvaldsdottir, Helga; Blankenberg, Daniel; Mesirov, Jill P.
Afiliação
  • Reich M; Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Tabor T; Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Liefeld J; Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Joshi J; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Kim F; Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Thorvaldsdottir H; The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Blankenberg D; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Mesirov JP; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
bioRxiv ; 2023 Apr 06.
Article em En | MEDLINE | ID: mdl-37066251
ABSTRACT
We present Genomics to Notebook (g2nb), an environment that combines the JupyterLab notebook system with widely-used bioinformatics platforms. Galaxy, GenePattern, and the JavaScript versions of IGV and Cytoscape are currently available within g2nb. The analyses and visualizations within those platforms are presented as cells in a notebook, making thousands of genomics methods available within the notebook metaphor and allowing notebooks to contain workflows utilizing multiple software packages on remote servers, all without the need for programming. The g2nb environment is, to our knowledge, the only notebook-based system that incorporates multiple bioinformatics analysis platforms into a notebook interface.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article