RSAT peak-motifs

RSAT peak-motifs discovers and evaluates transcription factor binding motifs from large-scale peak datasets such as ChIP-seq.

Key Features:

• Integrated Motif Discovery Algorithms: Combines oligo-diff, info-gibbs, and an optimized matrix-scan algorithm for efficient de novo motif discovery and genome-scale scanning.
• Motif Evaluation and Comparison: Matches predicted motifs to motif databases, predicts binding sites, and assesses position-specific scoring matrices using compare-matrices, matrix-quality, random-genome-fragments, random-motifs, random-sites, implant-sites, sequence-probability, and permute-matrix.

Scientific Applications:

• Transcriptional Regulation Analysis: Identifies transcription factor binding sites and regulatory motifs from ChIP-seq peak sequences for genome-wide regulatory studies.

Methodology:

RSAT Peak-Motifs integrates multiple motif discovery algorithms with statistical randomization and matrix-based evaluation to detect, compare, and validate transcription factor binding motifs in large genomic sequence datasets.