Creates sashimi plots showing RNA-seq read coverage and splice junction counts using ggsashimi or rmats2sashimiplot. Visualizes differential splicing events with grouped samples and junction read support. Use when visualizing specific splicing events or validating differential splicing results.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
Creates sashimi plots showing RNA-seq read coverage and splice junction counts using ggsashimi or rmats2sashimiplot. Visualizes differential splicing events with grouped samples and junction read support. Use when visualizing specific splicing events or validating differential splicing results.
Before using code patterns, verify installed versions match. If versions differ:
Python: pip show <package> then help(module.function) to check signatures
CLI: <tool> --version then <tool> --help to confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.
Sashimi Plot Visualization
Create sashimi plots to visualize splicing events with read coverage and junction counts.
ggsashimi Usage
Goal: Generate sashimi plots showing read coverage and junction counts for a genomic region.
Approach: Define sample groupings in a TSV file, then run ggsashimi with genomic coordinates and annotation.
"Visualize a splicing event" -> Plot RNA-seq coverage tracks with splice junction arcs grouped by condition.
