KAABiL LabLegumeLoc

Standalone command-line package

Run LegumeLoc locally

Download the legume protein localization models, Python utilities, and example inputs for reproducible local analysis.

Download packageLegumeLoc.tar.gz

Protein FASTA

Accepts one or more amino-acid sequences. Nucleotide sequences are not supported.

Two strategies

Choose Fast dipeptide features or Sensitive tripeptide features.

Research software

Download the standalone package for local research use. Reuse rights remain reserved unless a license is added.

Recommended setup

Install with conda

# 1. Extract the package
tar -xvzf LegumeLoc.tar.gz
cd LegumeLoc

# 2. Create the recommended conda environment
conda env create -f environment.yml
conda activate LegumeLoc

# 3. Install LegumeLoc
pip3 install .

Alternative setup

Install with system Python 3

Use this route only when the required dependencies are already available in your Python environment.

tar -xvzf LegumeLoc.tar.gz
cd LegumeLoc
pip3 install .

Example command

Run a prediction

python LegumeLoc.py -i ./example/test.fasta -o output -l level3 -m fast
-iInput FASTA file
-oOutput directory
-lHighest prediction level
-mfast or sensitive strategy