Shen Lab · Anhui Medical University

AttentionTAD

AttentionTAD is a computational tool for predicting topologically associating domain (TAD) boundaries from genomic DNA sequences. It uses deep learning to score candidate regions and supports cell-type-specific models for GM12878, HCT116, HMEC, HUVEC, K562, and NHEK.

Input
FASTA DNA (~10 kb)
Cell-line models
6 supported lines
Output
Boundary probability
GM12878HCT116HMECHUVECK562NHEK

TAD Boundary Prediction

Select a cell line and submit FASTA sequences

GM12878