A possible conda environment to work
For a system with CUDA:
conda env create -f environment.yml
For a system with only CPU:
conda env create -f env_cpu.yml
To download GraphK-LR, you have to clone the GraphK-LR repository to your machine.
git clone https://github.com/NethmiRanasinghe/GraphK-LR.git
- Build the binaries
cd GraphK-LR
sh build.sh
Download dataset from here;
python main.py -r <path to fastq file> -i <path to initial tool results .txt file> -o <path to output folder> --resume
Use the -h
argument to list all the available commands.