seqMINER

seqMINER analyzes ChIP-Seq datasets to extract and integrate qualitative and quantitative information for genome-wide interpretation of chromatin modifications and transcription factor occupancy.

Key Features:

• Qualitative and quantitative extraction: Extracts both qualitative patterns and quantitative signal measurements from ChIP-Seq data generated by chromatin immunoprecipitation and high-throughput sequencing.
• Multi-dataset integration: Handles and integrates multiple genome-wide ChIP-Seq datasets to support comparative analyses across experiments.
• Classification of features: Provides methods for classifying genomic regions based on analyzed features such as signal patterns, modifications, or occupancy.
• Visualization and pattern modeling: Produces multiple graphical representations to visualize and model general and specific patterns within datasets.
• Support for chromatin marks and TF occupancy: Applies to analysis of covalent histone modifications and transcription factor occupancies.

Scientific Applications:

• Genome-wide chromatin modification analysis: Comparative and integrative analysis of histone modification maps across experiments.
• Transcription factor occupancy profiling: Genome-wide analysis of transcription factor binding patterns from ChIP-Seq data.
• Comparative analysis across conditions or cell types: Integration and comparison of diverse ChIP-Seq experiments, including studies in mouse embryonic stem cells.
• Epigenetic landscape and differentiation studies: Examination of global epigenetic changes and chromatin alterations during cellular differentiation.

Methodology:

Extraction of qualitative and quantitative signals from ChIP-Seq data, classification of genomic regions based on analyzed features, integration and comparative analysis of multiple genome-wide datasets, and visualization/modeling of observed patterns.