GeneExpressionAging

Overview

The modular gene expression viewer is an innovative tool designed to help biologists effortlessly visualize and interpret gene expression data over time. By harnessing the power of web technologies such as Django and Polymer, this project creates an accessible and user-friendly platform for those with little to no bioinformatics background. It's tailored to support complex experiments, making data analysis straightforward and fast—perfect for labs eager to gain insights from their data.

With an interactive ideogram feature among its components, users can quickly set up custom visualizations for their datasets. The project is built with modularity in mind, offering the flexibility to add various modules and ultimately customize the user experience.

Features

• Interactive Ideogram: Visualizes gene expression changes over time, allowing for easy tracking and comparisons.
• User-Friendly Interface: Designed specifically for those with minimal bioinformatics experience, making it accessible for biologists.
• Modular Component Structure: Users can experiment with additional modules beyond the basic setup to enhance functionalities.
• Django Backend: Provides reliable data management and API access, ensuring robust performance and data handling.
• Polymer Front-End: Utilizes reusable web components for a seamless user experience, enhancing the app's performance and responsiveness.
• Docker Compatibility: Offers a Docker container for easy deployment and management of the application in various environments.
• Flexible Dataset Requirements: Supports standard .csv files for gene count and metadata, making it easy to feed data into the system.
• Remote Server Support: Allows users to run the app on a remote server using the screen Unix tool, ensuring continuous operation while working on other tasks.