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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; (2022) ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2. Bioinformatics 10.1093/bioinformatics/btac409. (In press). Green open access

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Abstract

MOTIVATION: The advent of long-read sequencing technologies has increased demand for the visualisation 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: 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 license. Further is available at https://dzhang32.github.io/ggtranscript/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Type: Article
Title: ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/bioinformatics/btac409
Publisher version: https://doi.org/10.1093/bioinformatics/btac409
Language: English
Additional information: Copyright © The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10151713
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