Work

EnsembleFit

Frontend
Svelte
Genomics
Data Visualization

Interactive web platform for visualizing mutational signatures and somatic driver mutations across organ tissues, supporting cancer genomics research

EnsembleFit Application

Overview

EnsembleFit is an interactive web platform designed to visualize and analyze mutational signatures and somatic driver mutations across various organ tissues. The application supports cancer genomics research by providing researchers with an intuitive interface to explore complex genomic datasets and understand mutational landscapes in different organ systems.

Key Contributions

  • Frontend Development: Built responsive user interface using Svelte for efficient data visualization and seamless user interaction
  • Data Visualization: Implemented interactive charts and graphs to display complex mutational signature data and driver mutation patterns
  • API Integration: Collaborated with backend team to integrate genomic data APIs for real-time analysis and visualization
  • Research Collaboration: Worked closely with research team to ensure application functionality aligned with analytical requirements
  • Performance Optimization: Optimized frontend performance for handling large genomic datasets and complex visualizations

Technical Implementation

Developed using Svelte for the frontend framework, providing a lightweight and performant solution for complex data visualization. The application integrates with backend APIs to fetch and display genomic data, enabling researchers to explore mutational signatures across solid and hollow viscus organs through interactive visualizations.

Links: Platform | Research Paper

Impact

The platform enhances accessibility and interpretation of complex genomic datasets, supporting cancer research by providing researchers with intuitive tools to analyze mutational landscapes. The application facilitates deeper understanding of mutational signatures and somatic driver mutations across different organ tissues, contributing to the research presented in the published study.