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stuartmac/drsasp-nod

By stuartmac

Updated over 2 years ago

A Docker image for nucleolar localization sequence (NoLS) prediction with NoD from the DRSASP.

Image
Machine learning & AI
Data science
1

288

stuartmac/drsasp-nod repository overview

NoD: Nucleolar localization sequence detector

NoD is an advanced artificial neural network predictor for identifying nucleolar localization sequences (NoLSs) in proteins, facilitating research on protein localization within the nucleolus. This resource is provided and maintained by the Dundee Resource for Sequence Analysis and Structure Prediction. For more details and to run NoD on our public server, visit the NoD web server.

You can also use this image to run NoD locally on your own computer or on HPC clusters.

Using NoD with Docker:

  1. Pull the Docker image:
docker pull stuartmac/drsasp-nod:latest
  1. Run NoD in a Docker container:
docker run --rm -v $(pwd):/app/data -it stuartmac/drsasp-nod:latest
nod -h  # Displays NoD help

Using NoD with Singularity for HPC:

  1. Build the Singularity image from the Docker container:
singularity build drsasp-nod.latest.sif docker://stuartmac/drsasp-nod:latest
  1. Shell into the Singularity container:
singularity shell -B "$(pwd)/:/app/data" drsasp-nod.latest.sif
nod -h  # Displays NoD help

Tag summary

Content type

Image

Digest

sha256:ffd2572a5

Size

731.9 MB

Last updated

over 2 years ago

docker pull stuartmac/drsasp-nod