W-ChIPMotifs

W-ChIPMotifs performs de novo motif discovery from ChIP-seq data to identify transcription factor binding motifs and support regulatory element analysis.

Key Features:

• Ab initio motif discovery algorithms: Integrates MEME, MaMF, and Weeder to identify motifs de novo from ChIP-seq-derived sequences.
• Ensemble aggregation: Combines outputs from multiple motif discovery algorithms for consolidated downstream analysis.
• Statistical validation: Employs bootstrap resampling and Fisher tests to assess motif significance.
• Multiple testing correction: Applies Bonferroni correction to refine p-values and reduce false positives.
• Phylogenetic and database comparison: Uses STAMP to compare discovered motifs against TRANSFAC and JASPAR for annotation and phylogenetic insight.

Scientific Applications:

• Transcription factor binding site identification: Detection of TF binding motifs from ChIP-seq peaks.
• Regulatory element discovery: Characterization of candidate regulatory sequences implicated in gene regulation.
• Novel motif discovery: Identification and validation of previously uncharacterized DNA-binding motifs.
• Comparative motif annotation: Phylogenetic and database-based contextualization of motifs using STAMP against TRANSFAC and JASPAR.

Methodology:

Raw ChIP-seq sequences are processed through MEME, MaMF, and Weeder; combined outputs undergo bootstrap resampling and Fisher tests for significance, p-values are adjusted by Bonferroni correction, and motifs are analyzed with STAMP against TRANSFAC and JASPAR.