Cerebro

Cerebro enables interactive visualization and exploration of single-cell RNA sequencing (scRNA-seq) data to characterize sample- and cell cluster-level heterogeneity and gene expression patterns.

Key Features:

• Interactive visualization: 2D and 3D projections for exploring similarities and heterogeneity between samples and cell clusters using dimensionality reduction techniques such as t-SNE and UMAP.
• Gene expression analysis: Display of expression levels for individual genes or gene sets and browsing of tables listing the most expressed and marker genes across samples and clusters.
• Pre-processed data input: Operates on pre-processed single-cell transcriptomics (scRNA-seq) data to focus analysis on downstream exploration and interpretation.

Scientific Applications:

• Cell type and state identification: Identification of novel cell types and cell states from scRNA-seq datasets using cluster- and marker-based exploration.
• Heterogeneity analysis: Characterization of cellular heterogeneity within complex tissues through comparative visualization of samples and clusters.
• Hypothesis generation and validation: Exploration of transcriptomic landscapes to generate hypotheses and support validation of experimental results.

Methodology:

Operates on pre-processed scRNA-seq data and applies dimensionality reduction (t-SNE, UMAP) for 2D/3D projection visualization while providing gene-level and marker-gene table summaries.