Login / Signup

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization.

Diego Garrido-MartínEmilio PalumboRoderic GuigoAlessandra Breschi
Published in: PLoS computational biology (2018)
We present ggsashimi, a command-line tool for the visualization of splicing events across multiple samples. Given a specified genomic region, ggsashimi creates sashimi plots for individual RNA-seq experiments as well as aggregated plots for groups of experiments, a feature unique to this software. Compared to the existing versions of programs generating sashimi plots, it uses popular bioinformatics file formats, it is annotation-independent, and allows the visualization of splicing events even for large genomic regions by scaling down the genomic segments between splice sites. ggsashimi is freely available at https://github.com/guigolab/ggsashimi. It is implemented in python, and internally generates R code for plotting.
Keyphrases
  • rna seq
  • single cell
  • copy number
  • machine learning
  • public health
  • deep learning
  • electron microscopy
  • gene expression