The groundbreaking work by Dixon et al., 2012 revealed the existence of regions with more within-interaction or self-interacting regions called Topologically Associated Domains. Topological associated domains, or TADs, are regions where interactions occur much more frequently than with outside regions (Figure Above).

The full TADMaster suite:

• Allows users to upload their chromosome contact data in a variety of input formats, select normalization methods to apply to your data, select methods to identify TADs, and visualize the results.
• Provides a comparative analysis between the TAD generated by multiple TAD detection methods
• Provide an easy-to-use platform for TAD identification
• Provides a framework for users to use to easily compare the performance of their algorithm.
• Provides a solution for understanding the overlaps between the TAD identified by different TAD detection methods.
• Aims to support a vertical advancement in the Hi-C readout detection research field.

• Provide a one-stop-shop for TAD analysis that combines 12 TAD detection algorithms to provide statistically significant results with real-world application
• Easy to use online tool requiring no installation for TAD analysis and assessment.
• Also available as a Containarized application that can be run locally on any platform
• Provide side-by-side comparison of outputs from different TAD detection algorithms
• Give researchers access to different perspectives based on machine learning, statistical analysis, and mathematical model-based algorithms.

• TADMaster: Comprehensive Analysis and Visualization
• TADMaster Plus: for the detection and the Comparative analysis of TADs extracted from multiple method
• Reupload and visualization previously Submitted jobs