GeneGazer
GeneGazer is your bioinformatics copilot for single-cell data — an interactive web application built with Streamlit, Scanpy, and Google Gemini AI to simplify and accelerate single-cell RNA-seq analysis. It supports common data formats (.h5ad, .csv, .mtx) and automates essential preprocessing steps including normalization, dimensionality reduction (PCA, UMAP), and clustering. Users can explore UMAP-based cluster visualizations, inspect gene expression heatmaps, and discover top marker genes for each cluster. What makes GeneGazer unique is its integrated Gemini-powered AI assistant, which provides real-time, context-aware bioinformatics support tailored to the loaded dataset. Whether you’re analyzing immune cells, tumors, or brain tissue, GeneGazer bridges the gap between computational analysis and biological insight — making high-throughput data exploration accessible to everyone.
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