Meta-ome KnowledgeBase
Web App : https://metaomekb.herokuapp.com/
An AI-powered protein homology classifier that is built to assist researchers in collecting and analysing relevant metadata across multi-omics databases to conduct their experiments.
Setting up environment and installing libraries locally:
# Setting up a virtual environment
python -m venv env
# Activating the virtual environment
# Mac OS / Linux
source env/bin/activate
# Windows
.\env\Scripts\activate
# Installing packages using Pip
pip install -r requirements.txt
For local hosting, use the following docker command to build and run the image:
# Build image
docker build -f Dockerfile -t metaomekb:latest .
# Run image
docker run -p 80:8080 -e PORT=8080 metaomekb:latest
Pulling from DockerHub and running the image:
docker pull astralbloke/metaome-streamlit
docker run -p 80:8080 -e PORT=8080 astralbloke/metaome-streamlit