WoLFPSORT Docker Wrapper

This repository provides a Docker container that wraps the WoLFPSORT software for predicting protein subcellular localization.

WoLFPSORT is available at https://wolfpsort.hgc.jp/.

WolfPSORT binaries are available at https://github.com/fmaguire/WoLFPSort/tree/master.

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Features

• Run WoLFPSORT easily without manual installation.
• Predict subcellular localization for animal, plant and fungi proteins.
• Input/output handled via mounted directories for easy access.

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Installation

Clone this repository:

git clone https://github.com/labioinfoufsc/WoLFPSORT.git

Build the Docker image from scratch (optional; image also available on Docker Hub):

docker build -t bioinfoufsc/wolfpsort -f WoLFPSORT/Dockerfile WoLFPSORT/ 

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Usage

Run WoLFPSORT for animal proteins

Run the first 100 proteins of the Mus musculus proteome:

docker run --rm -v ${PWD}/WoLFPSORT:/data bioinfoufsc/wolfpsort -s animal -i /data/examples/animal.fasta -o /data/examples/animal.txt

Run WoLFPSORT for fungal proteins

Run the first 100 proteins of the Aspergillus fumigatus proteome:

docker run --rm -v ${PWD}/WoLFPSORT:/data bioinfoufsc/wolfpsort -s fungi -i /data/examples/fungi.fasta -o /data/examples/fungi.txt

Run WoLFPSORT for plant proteins

Run the first 100 proteins of the Oryza sativa proteome:

docker run --rm -v ${PWD}/WoLFPSORT:/data bioinfoufsc/wolfpsort -s plant -i /data/examples/plant.fasta -o /data/examples/plant.txt

Notes:

• ${PWD}/WoLFPSORT mounts your local WoLFPSORT directory to /data/ inside the container.
• Input FASTA files should be placed in /data/examples/.
• Output results will be saved in /data/examples/.

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Citation

If you use WoLFPSORT, please cite:

Horton P, Park KJ, Obayashi T, et al. WoLF PSORT: protein localization predictor.
Nucleic Acids Research. 2007;35(Web Server issue):W585-W587.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933216/

WoLFPSORT Docker Wrapper is part of the FastProtein project
👉 https://github.com/labioinfoufsc/FastProtein

If this utility has been useful in your research or contributed in any way to your work, please cite the repository and the following publication:

Moreira RS, Benetti Filho V, Maia GA, Soratto TAT, Kawagoe EK, Russi BC, Miletti LC, Wagner G.
FastProtein—an automated software for in silico proteomic analysis.
PeerJ 12:e18309 (2024).
https://doi.org/10.7717/peerj.18309

👉 Repository: https://github.com/bioinfoufsc/WoLFPSORT

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Notes

• The Docker image bundles WoLFPSORT for Linux and sets up the environment automatically.
• Ensure your input FASTA files exist in the directory mounted to /data/.
• Output files will be accessible on your host system through the same mounted directory.
• This wrapper simplifies running WoLFPSORT without installing Perl, Bioperl, or other dependencies manually.