CpGmotifs

CpGmotifs identifies short DNA sequence motifs associated with aberrant CpG methylation to characterize sequence determinants of DNA methylation and associated transcription factor binding.

Key Features:

• Short DNA motif discovery: Employs a computational strategy tailored for identifying short sequence patterns linked to aberrant CpG methylation events.
• Targeted CpG-site analysis: Focuses on sequences surrounding CpG sites to assess qualitative nucleotide composition correlated with methylation changes.
• Transcription factor binding site (TFBS) prediction: Predicts TFBS associated with identified motifs to support functional interpretation of methylation alterations.
• Qualitative motif-based analysis: Provides a qualitative perspective that complements quantitative DNA methylation analyses.

Scientific Applications:

• Epigenetic research: Investigating the role of DNA sequence motifs in methylation stability and variation.
• Cancer studies: Studying aberrant CpG methylation events relevant to oncogenesis and tumor progression.
• Gene regulation analysis: Exploring relationships between sequence motifs, transcription factor binding, and gene expression.

Methodology:

Computational framework for short DNA motif discovery targeting regions surrounding CpG sites, leveraging nucleotide composition to identify sequences that correlate with methylation changes and integrating motif prediction with transcription factor binding site analysis.