/~https://github.com/akikuno/DAJIN
EZ-DAJIN is a Docker image of DAJIN. No need any installation except for Docker or Singularity. This is a ready-to-use version of DAJIN. All the test was done at NIG (National Institute of Genetics) Supercomputer, Japan.
PLOS BIOLOGY
@article{Kuno_2022,
title={DAJIN enables multiplex genotyping to simultaneously validate intended and unintended target genome editing outcomes},
volume={20},
url={https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001507},
DOI={10.1371/journal.pbio.3001507},
number={1},
journal={PLOS Biology},
author={Kuno, Akihiro and Ikeda, Yoshihisa and Ayabe, Shinya and Kato, Kanako and Sakamoto, Kotaro and Suzuki, Sayaka R. and Morimoto, Kento and Wakimoto, Arata and Mikami, Natsuki and Ishida, Miyuki and et al.},
year={2022},
month={Jan},
pages={e3001507}
}
The original DAJIN is under the MIT License - see the LICENSE file for details. EZ-DAJIN follows the same lisense.
Make you own docker image from dockerfile or use the docker image on Docker hub.
# docker
docker pull geedrn/dajin:tensorflow
# singularity
singularity pull docker://geedrn/dajin:tensorflow
The code below uses the test data in the original DAJIN. Change the design.txt accordingly for your customized analysis.
# For Docker people
docker run -it --rm -v $(pwd):/data -t geedrn/dajin:tensorflow /bin/bash
git clone /~https://github.com/geedrn/EZ-DAJIN.git
./DAJIN/DAJIN -i DAJIN/example/design.txt
# For Singularity people
git clone /~https://github.com/geedrn/EZ-DAJIN.git
singularity exec dajin_tensorflow.sif /bin/bash -c 'source activate; ./DAJIN/DAJIN -i ./DAJIN/DAJIN/example/design.txt'
I recommend the users install the scripts from this repository. I made a few minor changes in the scirpts from the original codes of DAJIN for making it work both in Docker and Singularity.
-CHANGE LOG-
scr/nanosim.sh line12
EZ-DAJIN only accepts DAJIN version more than 0.7.0.