SCHNAPPs

SCHNAPPs provides interactive analysis and visualization of single-cell RNA-sequencing (scRNA-seq) data to support quality control, normalization, clustering, and differential expression analysis.

Key Features:

• Integrated Workflows: Incorporates Seurat and Scran for quality control, normalization, clustering, and differential expression analyses.
• Customizable Analyses: Supports selection and subsetting of specific genes and cells for targeted analyses.
• Visualization Tools: Produces a range of visualizations to aid interpretation of scRNA-seq datasets.
• Reproducibility and Reporting: Generates R-markdown reports that document modifications and selected visualizations.
• Modular Design: Modular architecture enables integration of new analyses and visualizations.

Scientific Applications:

• Cellular Heterogeneity Analysis: Characterizing cellular heterogeneity in developmental biology, cancer research, and immunology using scRNA-seq data.

Methodology:

Analyses leverage Seurat and Scran to perform quality control, normalization, clustering, and differential expression, with results and workflows documentable via R-markdown.