Splicejam Sashimi Viewer
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    • Sashimi Plot
    • Sample Selection
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    • About Sashimi Plots
    • Creating a Sashimi Plot
    Sashimi viewer visualized sequence coverage data alongside splice junction-spanning sequence reads, using compressed intron genomic coordinates.
    • The methods were developed in support of this publication
      S. Farris, J. M. Ward, K.E. Carstens, M. Samadi, Y. Wang and S. M. Dudek. Cell Reports 2019. Hippocampal subregions express distinct dendritic transcriptomes that reveal unexpected differences in mitochondrial function in CA2.
    • Sashimi plots were originally envisioned by MISO:
      Katz, Y, Wang ET, Silterra J, Schwartz S, Wong B, Thorvaldsdóttir H, Robinson JT, Mesirov JP, Airoldi EM, Burge, CB.: Sashimi plots: Quantitative visualization of alternative isoform expression from RNA-seq data.

    Relevant R version info:

    • R version 3.6.0 (2019-04-26)
    • jampack: 0.0.21.900
    • splicejam: 0.0.75.900
    • jamba: 0.0.78.900
    • colorjam: 0.0.22.950
    • farrisdata: 0.0.10.900
    • ggplot2: 3.3.5
    • plotly: 4.10.0

    Full R sessionInfo():

    Plot Parameters

    Sashimi Plot

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    • Plot Style:
             

             
      Axis Settings:
      Exon Models:
         
             

    Sample Selection and Order

    Select samples in the order they should appear in the figure. The table will re-order itself to place selected samples at the top. De-select samples to remove them from the figure. Click 'Update Sashimi Plots' to create a new figure.