IRIS3

IRIS3 infers cell-type-specific regulons (CTSRs) from single-cell RNA sequencing (scRNA-Seq) data to characterize transcriptional regulation in human and mouse cell types.

Key Features:

• CTSR inference from scRNA-Seq (human and mouse): Performs cell-type-specific regulon inference using single-cell RNA-Seq data for both human and mouse.
• Regulator and target gene identification: Identifies key regulators and their target genes within inferred regulons.
• Regulon analysis and visualization: Implements over 20 analytical functions for comprehensive analysis and visualization of identified regulons.
• Cell-type characterization and differentiation: Characterizes and differentiates specific cell types based on regulon activity.
• Data integration: Enables integration of CTSR outputs with other computational or experimental analyses.
• Transcriptional network support: Supports construction of global transcriptional regulation networks and causal gene regulatory network construction.

Scientific Applications:

• Identification of disease-associated regulators and targets: Pinpoints key regulators and target genes implicated in complex disease hierarchies and heterogeneity.
• Study of cellular heterogeneity: Enables exploration of cell-type identity and intra- and inter-cell-type heterogeneity through regulon analysis.
• Gene regulatory network reconstruction: Supports building global transcriptional regulation networks and causal gene regulatory networks from CTSR data.
• Drug development and target discovery: Aids identification of potential therapeutic targets and regulatory mechanisms relevant to drug development.

Methodology:

Performs cell-type-specific regulon (CTSR) inference from single-cell RNA-Seq data, provides analysis and visualization of identified regulons, enables integration of CTSR outputs with other computational or experimental analyses, and supports construction of global transcriptional regulation and causal gene regulatory networks.