Command-line tool for the visualization of splicing events across multiple samples
7.7K
ggsashimi docker imageTo execute ggsashimi with docker:
docker run guigolab/ggsashimi --help
Because the image is used in a docker container which has its own file system, to use the program with local files, a host data volume needs to be mounted.
As an example, you can run this command from the main repository folder:
docker run -w $PWD -v $PWD:$PWD guigolab/ggsashimi -b examples/input_bams.tsv -c chr10:27040584-27048100
The '-w' option sets the working directory inside the container to the current directory. The '-v' option mounts the current working directory and all child folders inside the container to the same path (host_path:container_path).
If your files are in another folder, for example the annotation file is stored in a different folder then the one containing the bam file, you can mount extra folders like this:
f="$DIR/annotation.gtf"
docker run -w $PWD -v $PWD:$PWD -v $DIR:$DIR guigolab/ggsashimi -b examples/input_bams.tsv -c chr10:27040584-27048100 -g $f
You can even mount a single file:
docker run -w $PWD -v $PWD:$PWD -v $f:$f guigolab/ggsashimi -b examples/input_bams.tsv -c chr10:27040584-27048100 -g $f
Content type
Image
Digest
Size
183.9 MB
Last updated
almost 5 years ago
docker pull guigolab/ggsashimi