motif-analysis

To identify transcription factor binding motifs in ChIP-seq peaks, you provide peak regions in BED format for sequence extraction, background modeling, and motif database enrichment analysis to elucidate regulatory mechanisms and co-binding factors.

De novo motif discovery for ENCODE genomic regions works by applying HOMER and MEME Suite algorithms to extracted peak sequences, revealing enriched known and novel motifs to identify potential co-regulators and tissue-specific enhancer factors.

Yes, you can find co-binding transcription factors from ATAC-seq peak datasets by running known motif enrichment analysis across provided genomic regions to reveal associated regulatory factors and tissue-specific networks.

The required input format for running motif enrichment analysis is BED format containing peak regions, which the tool then uses to extract sequences, build background models, and query motif database resources.

De novo motif discovery finds novel sequence patterns within peaks without prior knowledge, while known motif enrichment checks peak sequences against existing motif databases to identify co-binding factors and regulatory mechanisms.

Motif enrichment analysis requires background modeling to statistically distinguish true biological binding signals from random sequence patterns within the extracted genomic peak regions.