NucMap

NucMap provides genome-wide nucleosome positioning maps across species and integrates omics data including RNA-seq and ChIP-seq to facilitate the interpretation of nucleosome positioning.

Key Features:

• Genome-wide nucleosome positioning maps: NucMap provides nucleosome positioning maps across various species with expanded species and MNase-seq samples in version 2.0.
• Multi-omics data integration: NucMap integrates related omics data for each MNase-seq sample, including gene expression, transcription factor binding sites, histone modifications, and DNA methylation.
• Human-focused omics integration: NucMap 2.0 specifically integrates and pre-analyzes RNA-seq data and ChIP-seq data of human-related samples.
• Genome browser integration: All processed data are integrated into an in-built genome browser for comprehensive side-by-side analyses.
• Differential nucleosome region identification: NucMap 2.0 includes analytical functions to identify differential nucleosome regions.
• Gene regulatory region exploration: NucMap 2.0 includes analytical functions to explore potential gene regulatory regions.

Scientific Applications:

• Nucleosome positioning interpretation: NucMap facilitates the interpretation of nucleosome positioning through integration with gene expression, transcription factor binding, histone modification, and DNA methylation data.
• Human nucleosome biology: The pre-analyzed RNA-seq and ChIP-seq integration supports interpretation of nucleosome positioning specifically in human-related samples.
• Differential nucleosome analysis: Researchers can identify differential nucleosome regions between samples or conditions.
• Gene regulatory region discovery: Researchers can explore potential gene regulatory regions through integrated analysis.
• Comparative nucleosome analysis: NucMap supports comparative analysis of nucleosome positioning across species and samples.

Methodology:

NucMap processes MNase-seq data to generate genome-wide nucleosome positioning maps and integrates pre-analyzed RNA-seq and ChIP-seq data for human-related samples.