A plugin for PathMe that allows to explore overlaps across pathway databases

## Project description

This web application aims to facilitate querying, browsing, and navigating pathway knowledge formalized in Biological Expression Language (BEL). While it was built paralelly with PathMe, to facilitate the exploration of the databases harmonized by this package, the PathMe Viewer supports the visualization of BEL files. BEL files can be stored in the PathMe Viewer’s database and so they queried in the main page. In this page, users can select multiple BEL files (pathways) to renders the corresponding merged network in a user-friendly visualization powered by multiple built-in functionalities.

This web application is publicly accessible at http://pathme.scai.fraunhofer.de/ but can be locally deployed using Docker or PyPI (see Installation/Deployment sections).

## How to Use

Exploring pathways through this web application is simple. First, select a set of pathways from different databases. To choose a pathway, first select a database and the autocompletion form will then guide you to find pathway(s) of interest to you. After pathways have been selected, click on the “Explore” button to render the merged network corresponding to the selected pathways.

The resulting network is visualized in the next page where multiple functionalities enable the exploration of the pathway(s).

## Installation

PathMe can be installed easily from PyPI running the following code in your terminal:

$python3 -m pip install pathme_viewer or from the latest code on GitHub with: $ python3 -m pip install git+https://github.com/ComPath/PathMe-Viewer.git@master

## Database

In order to visualize BEL files with the viwer, you have to load them into the databases. The following command to loads the databases converted to BEL by PathMe (note that the first time it runs might take a couple of hours). Additionally, users can customize the imports to other bel files or databases (please see the documentation page ).

python3 -m pathme_viewer manage load

In order to check the status of the database, you can run:

python3 -m pathme_viewer manage summarize

The content of the database can be erased by running:

python3 -m pathme_viewer manage drop

## Deployment

If you have already installed the PathMe-Viewer as a Python package and you have already populated the database, now you can deploy the web application by running:

python3 -m pip install pathme_viewer web

Note that the database runs by default in the following port: http://0.0.0.0:5000/. The Flask host and port can be modified by changing the default parameters (run: “python3 -m pathme_viewer web –help” for more info).

### Deployment of PathMe Viewer using Docker

To quickly deploy the web application locally, you can also use Docker. This can be achieved by running the following commands after installing Docker.

1. Build a container named ‘pathme’ version 0.0.1 (you must be in the root directory after cloning this package with Git).

docker build -t pathme:0.0.1 .
1. Run docker the pathme container version 0.0.1.

docker run --name=pathme -d -p 5000:5000 --restart=always -d pathme:0.0.1

Note: the docker file is meant to be run on http://127.0.0.1:5000/. If you want to change the host/port please modify dockerfile (line 55) and src/bin/bootstrap.sh (line 23).

## Project details

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