Visualize amino acid changes in protein sequences interactively
Life System and Habit Tracker
Check your progress in a Deep RL course
Evaluate model predictions and update leaderboard
Mapping Nieman Lab's 2025 Journalism Predictions
Display and manage data in a clean table format
Check system health
Analyze autism data and generate detailed reports
statistics analysis for linear regression
This is AI app that help to chat with your CSV & Excel.
Analyze and visualize data with various statistical methods
Analyze weekly and daily trader performance in Olas Predict
Explore and filter model evaluation results
ESM-Variants is an interactive data visualization tool designed to help researchers and scientists analyze and visualize amino acid changes in protein sequences. It enables users to explore variations in protein structures and understand the impact of mutations or sequence alterations. The tool is particularly useful for bioinformatics, molecular biology, and genomics applications.
• Interactive Visualization: Dynamic and intuitive visualization of protein sequence variations. • Sequence Alignment: Easy comparison of multiple protein sequences to identify similarities and differences. • Customizable Filters: Apply filters to focus on specific regions or types of variations. • Real-Time Updates: Instant visual feedback as you adjust parameters or input data. • Export Options: Save visualizations in various formats for presentations or publications. • User-Friendly Interface: Designed for both novice and advanced users to navigate effortlessly.
What file formats does ESM-Variants support?
ESM-Variants supports common protein sequence formats such as FASTA, CSV, and GENBANK files.
Can I customize the visualization appearance?
Yes, ESM-Variants allows you to adjust colors, labels, and other visual elements to suit your needs.
How do I interpret the amino acid change visualization?
The visualization highlights changes in amino acids, with color coding to indicate specific types of substitutions. Use the legend provided to understand the mapping of colors to amino acid properties.