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Learn to predict functional transcription factors from diverse genomics datasets in this 30-minute conference talk from the Computational Genomics Summer Institute. Explore computational methods and tools for identifying transcriptional regulators using query gene sets and epigenomic profiles, including the BART (Binding Analysis for Regulation of Transcription) suite of tools. Discover how to analyze transcription factor binding patterns, infer regulators from chromatin interaction data using Hi-C datasets, and utilize web-based resources for transcriptional regulator association analysis. Examine applications in cancer genomics and gain insights into next-generation sequencing-based computational approaches for transcriptional regulator prediction, supported by peer-reviewed research spanning from 2018 to 2024 that demonstrates the evolution and validation of these predictive methodologies.
