Cogito

Cogito compares annotated genomic intervals across datasets to produce high-level overviews and visualizations that aid analysis of genetic and epigenetic studies.

Key Features:

• Comparison of annotated genomic intervals: Systematic comparison of annotated genomic intervals across multiple datasets to identify overlaps and relationships.
• Support for multiple experimental types: Explicit handling of interval-based data from RNA-seq and ChIP-seq and other genomic or epigenomic interval datasets.
• Structured workflow: A workflow for unbiased, systematic analysis of complex datasets with multiple sample types and conditions.
• Visualization: Generation of visual summaries that capture key information from genomic and epigenomic interval-based datasets.
• High-level overview analysis: Enables overview analyses that assess data relationships without requiring full reanalysis of original studies.
• Report generation: Produces text-based and fully customizable reports summarizing comparative and visual analyses.
• Support for reproducible analyses: Outputs and workflows structured to facilitate reproducible comparative analyses of interval data.

Scientific Applications:

• Comparative analysis of RNA-seq and ChIP-seq: Assess relationships and overlaps between transcriptional (RNA-seq) and chromatin-related (ChIP-seq) interval data.
• Genetic and epigenetic studies with multiple conditions: Analyze datasets that span multiple experimental types and conditions to detect condition-dependent patterns.
• Correlation assessment across datasets: Identify and evaluate potential correlations and combinatorial effects among interval-based datasets.
• Guiding downstream analysis strategies: Provide high-level visual and textual summaries to inform selection of detailed analytical approaches.
• Summarization for hypothesis generation: Produce summarized interval-based evidence to support generation of biological hypotheses.

Methodology:

Compares annotated genomic intervals across datasets, generates visual summaries of interval-based genomic and epigenomic data, produces text-based and customizable reports, and is implemented as an R/Bioconductor package.