Meet-EU Team WA1
Topic A : Prediction of TADs
- Create GitHub account
- Provide email to get access.
- Create ssh key
cd /home/my-user/.ssh
ssh-keygen -t rsa -b 4096
- provide name and optional password
cat <given-name>.pub
- copy retrieved
- GitHub settings
- SSH and GCP keys tab
- add ssh key
- type any name
- paste result of
cat
-a - navigate to terminal
ssh -T git@github.com -i ~/.ssh/<given-name>
- now I can:
git clone git@github.com:<scope-user>/<project-name>.git
, in our casegit clone git@github.com:meet-eu-21/Team-WA1.git
- HiC - data to our algorithms
- TAD - additional metadata + results
- All (approx. 25 gb) -
./scripts/download_all.sh
- Only GM12878 (approx. 11 gb) -
./scripts/download_GM12878.sh
- install
python3
- install required packages
- download and unpack data (can use scripts directory)
- in src directory
python3 main.py {args}
(available args and their behaviour can be found insummary_report.pdf
)
- example:
python3 main.py--results-path=../results --resolution=100k --data-path=../data/www.lcqb.upmc.fr/meetu/dataforstudent/HiC/GM12878/100kb_resolution_intrachromosomal --run-topdom=True --with-metrics-results=True --with-results-coordinates=True --topdom-sensitivity=0.04 --topdom-window-size=5 --chromosomes=1,22,X
- Results should be available in
{desired directory}/topdom
/{desired directory}/arrowhead
directory - Remember to change resolution if you change data