Title | Host Pathogen Interaction |
---|---|
Repository-name | GitHub |
Project page | BioWeb |
Frontend | BioWeb |
Finding the diesecs is very challenginig matter. There are many methods available in the filed but the problem these methods are not flow the same procedure. So that we like to develop the software that help to identify the problem using the microbiome samples. The software worked based on the machine learning techniques. It can give more suitable discussion for the user.
When considering the problems in this field we found some of the major things. -imited to testing for differential abundance of microbial taxa between group of sample -They do not allow users to evaluate their predictivity. -the software resulting from these studies is generally not easily modified or transferred to other classification tasks or data types -Some tools have identified these many issues -Specific programming language based -its give poor user experience
we are suggesting a web application integrated with a machine learning framework and statistical methods.it can help user they can analyze their microbiome data without any machine learning knowledge because our software proving the GUI for doing such things
- Docker
- Docker-Compose
//Build the new image and spin up the two containers.(only after content changed in requirments.txt or docker-relatedfiles)
//creating new containers.
docker-compose up -d --build
//Run an existing containers
docker-compose up
//now app will be run on https://localhost:8000
//spin down the development containers
docker-compose down -v
//Build the new image and spin up the two containers.(only after content changed in requirments.txt or docker-relatedfiles)
//creating new containers.
docker-compose -f docker-compose.prod.yml up -d --build
//Eun migration
docker-compose exec web python manage.py migrate --noinput
//regenerate staticfiles:
docker-compose exec web python manage.py collectstatic --no-input --clear
//Run an existing containers
docker-compose -f docker-compose.prod.yml up
//now app will be run on https://localhost:1337
- E/17/292, Rilwan M, e17292@eng.pdn.ac.lk
- E/17/256, Piriyaraj S, e17256@eng.pdn.ac.lk
- E/17/352, Thanujan T, e17352@eng.pdn.ac.lk
- E/17/358, Varnaraj N, e17358@eng.pdn.ac.lk
- step 01- clone repo
git clone https://github.com/cepdnaclk/e17-co328-Host-Pathogen-Interaction.git
- step 02 - activate virtual environment
run active file in the software/frontend/script
A. On Windows(open CMD on script folder)B. On linux(open terminal on script folder)activate.bat
source activate
- step 03 - install modules
move to folder Fronted in terminalpip install -r requirements.txt
- step 04 - database migrations
move to folder Host_Pathogen_Interaction
python manage.py makemigrations python manage.py migrate
- step 05 - run server
python manage.py runserver
Thank you