Mikado - pick your transcript: a pipeline to determine and select the best RNA-Seq prediction
929
Mikado Docker Hub
Documentation - Mikado documentation
GitHub - https://github.com/EI-CoreBioinformatics/mikado
Mikado execution
# From Linux:
docker run --rm -it -v "$(pwd)":/data -w /data gemygk/mikado:v2.3.5rc3 mikado -h
# From Mac OS (If you’re on an Intel Mac, you can omit --platform linux/amd64.)
docker run --platform linux/amd64 --rm -it -v "$(pwd)":/data -w /data gemygk/mikado:v2.3.5rc3 mikado -h
# From Windows PowerShell:
docker run --rm -it -v "${PWD}:/data" -w /data gemygk/mikado:v2.3.5rc3 mikado -h
singularity exec docker://gemygk/mikado:v2.3.5rc3 mikado -h
# If you need to mount a specific directory
singularity exec --bind "$PWD":/data --pwd /data docker://gemygk/mikado:v2.3.5rc3 mikado -h
Citing Mikado
Venturini, L., Caim, S., Kaithakottil, G. G., Mapleson, D. L., & Swarbreck, D. (2018). Leveraging multiple transcriptome assembly methods for improved gene structure annotation. GigaScience, 7(8). https://doi.org/10.1093/gigascience/giy093
Content type
Image
Digest
sha256:a23682d1b…
Size
1.6 GB
Last updated
10 months ago
docker pull gemygk/mikado:v2.3.5rc3