thachnguyen/duesselpore

This is a local webserver for RNASeq Analysis

DUESSELPORE Webserver manual

Getting start

Simply install Docker and run (you may have to run it as sudo user on Linux):

docker run -it -p 8000:8000 thachdt4/duesselpore:running python3 /home/ag-rossi/projects/duesselpore/manage.py runserver 0.0.0.0:8000

Open the web browser at localhost:8000/duesselpore. More information is on manual.md file. Duesselpore is a full stack, light weight webserver to process RNASeq from Nanopore as well as other (Illumina, PacBio ...)

• Duesselpore web framework is writen using Django Python 3.8.5, NGS data analysis function were written using R and Python.
• Duesselpore can run locally on your Docker Container.
• Except Gene Ontology and KEGG, other functional analysis can work without internet connection.

(Optional) You can add your user account to docker group to use docker without sudo

$ sudo usermod -aG docker $USER 
$ sudo chmod 666 /var/run/docker.sock

Availability:

• Running Docker images is on dockerhub: thachdt4/duesselpore:running, or you can customize your Docker container from Dockerfile on this github repository.
• Test data full at https://iufduesseldorf-my.sharepoint.com/:u:/g/personal/thach_nguyen_iuf-duesseldorf_de/EWIk4CLauThHk61_5rItjEcBOP4CJstbyCN9yN3ty36A7g?e=zRUf1T (Human)
• Test data lightweight at https://iufduesseldorf-my.sharepoint.com/:u:/g/personal/thach_nguyen_iuf-duesseldorf_de/ES4BsdfJSKNHl-mDUR3BogcBEmdOawVTRy-eRXU3-XeG2A?e=Kq9O2e (Human)

System requirement

System requirement

* CPU: 2.0 GHz (64bits) 2 cores or higher
* Memory: 8 GB or higher
* Diskdrive: 100 GB free space 
* Window 10, Linux (64 bits) or MacOS.

Dependancies

All dependancies package are built in docker images.