MochiView

MochiView provides integrated browsing, visualization, and analysis of genome-scale sequence data and short DNA/RNA motifs to support interpretation of high-throughput genomic experiments.

Key Features:

• Genomic Data Integration: Integrates genome-scale sequences, genomic features, and associated datasets for combined visualization and analysis.
• Motif Visualization and Analysis: Identifies, visualizes, and analyzes short sequence motifs in DNA and RNA and links motif occurrences to genomic context.
• Support for High-Throughput Data Types: Handles and visualizes data from ChIP-Seq, ChIP-Chip, and deep RNA sequencing for comparative analysis with motifs and genomic features.

Scientific Applications:

• Deep RNA Sequencing: Managing and interpreting transcriptomic read distributions and motif associations from deep RNA-seq experiments.
• Chromatin Immunoprecipitation (ChIP-Seq and ChIP-Chip): Visualizing and analyzing protein-DNA interaction data in conjunction with motif occurrences and genomic features.
• Transcriptional Profiling: Exploring transcriptional profiles and associating expression patterns with nearby sequence motifs and genomic annotations.

Methodology:

Provides utilities to browse genomic sequences and features, integrate genome-scale datasets, visualize DNA motif occurrences, and identify connections between different genomic datasets and short sequence motifs.