Tool:Brave: Bioinformatics Reactive Analysis and Visualization Engine

Question

[Edward]

Hello everyone: I recently developed and fully open-sourced a private cloud bioinformatics analysis tool that can visualize generation parameters and runs using Docker.

• Document: https://pybrave.github.io/brave-doc/
• UI: https://pybrave.github.io/brave-ui/

Local Installation API:

git clone https://github.com/pybrave/brave.git
cd brave
pip install .
brave  --port 5008  --use-https

I am actively improving the documentation and functions, welcome to follow star.

[ATpoint]

Can you summarize in one sentence what the use case is? Is this a workflow manager?

[Istvan Albert]

I visited the website, but I couldn't understand what problem the software solves.

You need to do a much better job of communicating the purpose and value of the work.

[Yang]

Thanks for the reply, I simply recorded the screen and used brave to integrate fastqc analysis. You can click the link below to view. In general, brave can quickly develop visual analysis applications based on cloud applications, and manage and real-time monitor docker processes.

https://pybrave.github.io/brave-doc/

[Istvan Albert]

We don't have 6 minutes to watch something without even knowing what it does.

I would recommend that you provide a brief explanation of what problem you are trying to solve, and within just a few lines of text, convince people that it is worth spending effort.

what you have today is a cryptic statement "Bioinformatics Reactive Analysis and Visualization Engine" I have no idea whatsoever what that is, why I should care.

I still don't know what this tool does, frankly.

Who is your audience? What does one need to run it? etc

[ATpoint]

Seconding this, I also felt completely lost what this actually does. @OP, you need to learn to make sharp, concise bulletpoints advertising your software, so anyone immediately knows what it is. Or it gets lost in the daily software traffixc.

[Edward]

Thanks for the reply and suggestions. This software is a bit similar to galaxy. Recently, I am adding an application store for pipelines, software, files and scripts, and packaging the brave program into docker so that pipelines, software, files or scripts can be run in three steps.

In addition, since Brave implements the structural definition of Bioinformatics analysis, the cromwell pipeline can be automatically generated by the visual connection software later (cromwell seems to be easier to automatically generate than nextflow).

In addition, Brave is for private clouds and cannot be directly applied. You must install the back-end API.

Answer 1

[Edward]

I recently updated some of the code and I would like to reintroduce this GitHub open source project:

BRAVE is a visual bioinformatics workflow platform, similar to Galaxy, that enables intuitive configuration and visualized execution of both upstream and downstream data analyses.

It provides an interactive interface that allows users to quickly develop upstream Nextflow analysis pipelines and downstream visualization scripts using containerized applications such as RStudio, VS Code, and Jupyter.

Once a Nextflow pipeline or visualization script is developed, it can be published to a GitHub repository as a BRAVE “store” app, allowing other analysts to download and use it. Each app maintains isolation, reproducibility, and scalability, leveraging containerized execution to ensure consistent and reliable analyses.

For more information, see: https://pybrave.github.io/brave-doc/ or https://github.com/pybrave/brave