Gene Expression NebulasA set of online tools for bulk and single-cell RNA-seq data analysis, with interactive visualization of scRNA-seq results.
PCA, Differential expression, and functional enrichment. Start by selecting a bulk dataset.
Explore and visualize gene expression profiles across different conditions from bulk RNA-seq data.
Construct weighted co-expression networks to identify modules and hub genes associated with biological traits.
Quality control, normalization, dimension reduction (PCA/t-SNE/UMAP), clustering, marker identification, trajectory inference, and automated cell type annotation.
Explore single-cell transcriptomic profiles with interactive plots. Visualize clusters, gene expression, trajectories, and metadata. Export high-quality figures.