MOCCS

MOCCS evaluates transcription factor binding to individual k-mer DNA motifs from ChIP-seq data to resolve motif ambiguity and inform interpretation of gene regulatory networks and cis-regulatory element mutations.

Key Features:

• Comprehensive k-mer analysis: Systematically analyzes every k-mer bound by a given transcription factor as identified in ChIP-seq datasets.
• Direct binding evaluation: Directly evaluates transcription factor binding capability to each DNA-binding motif independent of position weight matrix (PWM) model limitations.
• Computational efficiency: Processes diverse ChIP-seq datasets within minutes for large-scale analyses.
• Validation across datasets: Demonstrated on simulated datasets and real-world ChIP-seq data from the ENCODE project.

Scientific Applications:

• DNA–protein interaction analysis: Clarifies which specific k-mer motifs are directly bound by transcription factors.
• Gene regulatory network inference: Improves assignment of functional motifs to transcription factors for regulatory network reconstruction.
• Cis-regulatory mutation interpretation: Aids assessment of how mutations in cis-regulatory elements affect transcription factor binding and gene expression.
• Studies of transcriptional regulation and genetic variation: Supports research into molecular mechanisms underlying transcriptional control and variant effects.

Methodology:

Systematically analyze all k-mers identified from ChIP-seq peaks and evaluate transcription factor binding capability to each k-mer/motif without relying solely on position weight matrix models.