Bioinformaticians and data scientists, rely on computational frameworks (e.g. snakemake, nextflow, CWL, WDL) to process, analyze and integrate data of various types. Such frameworks allow scientists to combine software and custom tools of different origin in a unified way, which lets them reproduce the results of others, or reuse the same pipeline on different datasets. One of the fundamental issues is that the majority of the users execute multiple pipelines at the same time, or execute a multistep pipeline for a big number of datasets, or both, making it hard to track the execution of the individual steps or monitor which of the processed datasets are complete. panoptes is a tool that monitors the execution of such workflows.

panoptes is a service that can be used by:

• Data scientists, bioinformaticians, etc. that want to have a general overview of the progress of their pipelines and the status of their jobs
• Administrations that want to monitor their servers
• Web developers that want to integrate the service in bigger web applications

Note: panoptes is in early development stage and the first proof of concept server will support only workflows written in snakemake.

Installation

Requirements:

• Python>=3.6
• virtualenv
• sqlite3

Local

pypi

Create virtual environment

virtualenv -p `which python3` venv

Activate virtual environment

source venv/bin/activate

Install via pypi

pip install panoptes-ui

conda

Create conda environment

conda create --name panoptes -c conda-forge -c bioconda panoptes-ui

Activate conda environment

conda activate panoptes

Source code

Clone repo

git clone https://github.com/panoptes-organization/panoptes.git

Enter repo

cd panoptes

Create virtual environment

virtualenv -p `which python3` venv

Activate virtual environment

source venv/bin/activate

Install all requirements

pip install .

Run the server

By default, server should run on 127.0.0.1:5000, and generate the sqlite database .panoptes.db.

Using the development server

panoptes

Using a WSGI server

Install all necessary packages (see above), plus a WSGI server (e.g. gunicorn or waitress), and run the server:

gunicorn --access-logfile logs/access.log --error-logfile logs/error.log --timeout 120 --bind :5000 panoptes.app:app

Containers

Docker

Requirements:

• docker

Pull image that is automatically built from bioconda. You can find the latest tag in the following url: https://quay.io/repository/biocontainers/panoptes-ui?tab=tags. For example:

docker pull quay.io/biocontainers/panoptes-ui:0.2.3--pyh7cba7a3_0

Then run the container with:

docker run -p 5000:5000 -it "image id" panoptes

Note: In this case the database is stored within the docker image, so every time you restart the server the database will be empty. You would need to mount the volumes to make the database persistent.

Docker compose

Requirements:

• docker
• docker-compose

Build

docker-compose build

Run

docker-compose up -d

Server should run on: http://127.0.0.1:8000

Stop

docker-compose down

Singularity

You can also deploy the server with singularity. To do so pull the image with singularity. For example:

singularity pull docker://quay.io/biocontainers/panoptes-ui:0.2.2--pyh7cba7a3_0

And then we can start the server by running:

singularity exec panoptes-ui:0.2.2--pyh7cba7a3_0

Run an example workflow

In order to run an example workflow please follow the instructions here

panoptes in action

panoptes API

Panoptes provides the following API endpoints:

To communicate with panoptes the following endpoints are used by snakemake:

Contribute

Please see the Contributing instructions.

CI server

Changes in develop or master trigger a GitHub Actions build (and runs tests)

Contact

In case the issues section is not enough for you, you can also contact us via discord