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ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2.
Gustavsson, Emil K; Zhang, David; Reynolds, Regina H; Garcia-Ruiz, Sonia; Ryten, Mina.
Afiliação
  • Gustavsson EK; Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.
  • Zhang D; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
  • Reynolds RH; Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.
  • Garcia-Ruiz S; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
  • Ryten M; Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.
Bioinformatics ; 38(15): 3844-3846, 2022 08 02.
Article em En | MEDLINE | ID: mdl-35751589
ABSTRACT
MOTIVATION The advent of long-read sequencing technologies has increased demand for the visualization and interpretation of transcripts. However, tools that perform such visualizations remain inflexible and lack the ability to easily identify differences between transcript structures. Here, we introduce ggtranscript, an R package that provides a fast and flexible method to visualize and compare transcripts. As a ggplot2 extension, ggtranscript inherits the functionality and familiarity of ggplot2 making it easy to use. AVAILABILITY AND IMPLEMENTATION ggtranscript is an R package available at https//github.com/dzhang32/ggtranscript (DOI https//doi.org/10.5281/zenodo.6374061) via an open-source MIT licence. Further documentation is available at https//dzhang32.github.io/ggtranscript/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido