TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile
by Tianqi Yang, Ricardo Henao
Determining transcriptional factor binding sites (TFBSs) is critical for understanding the molecular mechanisms regulating gene expression in different biological conditions. Biological assays designed to directly mapping TFBSs require large sample size and intensive resources. As an alternative, ATAC-seq assay is simple to conduct and provides genomic cleavage profiles that contain rich information for imputing TFBSs indirectly. Previous footprint-based tools... Читать дальше...