CEMIG

CEMIG predicts and maps transcription factor (TF)-binding motifs from ATAC-seq data using de Bruijn graph representations and Hamming distance analysis to improve cis-regulatory motif discovery.

Key Features:

• Algorithmic Innovation: Integrates de Bruijn graph structures with Hamming distance metrics to predict TF-binding motifs from ATAC-seq-derived sequences.
• Performance and Validation: Tested on 129 ATAC-seq datasets sourced from the Cistrome Data Browser and shown to outperform three established methods across four evaluative metrics in identifying cell-type-specific and common TF motifs.
• Cross-Platform Implementation: Implemented in C++ with reported compatibility for Linux, macOS, and Windows.
• Functional Genomic Validation: Predicted motifs have been validated through transcriptional and functional genomic studies across multiple cell types.

Scientific Applications:

• Motif discovery and mapping: Identification of novel cis-regulatory DNA sequences and TF-binding motifs from ATAC-seq data.
• Gene regulation analysis: Characterization of gene regulatory mechanisms by mapping TF-binding sites and assessing cell-type-specific motif activity.
• Comparative and evolutionary genomics: Assessment of evolutionary conservation and cell-type specificity of motifs for comparative genomic studies.

Methodology:

Constructs de Bruijn graphs from ATAC-seq data and applies Hamming distance calculations to predict and map TF-binding motif sites.