Bioinformatics Visualization Plots

Generate interactive network plots for protein-protein interactions, gene co-expression networks, and biological pathway visualizations.

Create waterfall plots for oncology data visualization, showing treatment responses and mutation burdens across patient cohorts.

Generate Venn and Euler diagrams for set analysis in genomics, showing overlaps between gene lists, pathways, or experimental conditions.

Create UpSet plots for visualizing set intersections, particularly useful for comparing multiple gene sets or experimental conditions.

Generate Circos plots for genomic data visualization, showing relationships between genomic elements, translocations, and structural variations.

Create interactive Sankey diagrams for visualizing flow of materials, energy, or information in biological systems and metabolic pathways.

Create PhenoGram plots for genome-wide association study (GWAS) results visualization, showing chromosomal positions of significant SNPs.

Generate customizable heatmaps for gene expression data with clustering, annotation tracks, and interactive visualization options.

Create forest plots for meta-analysis results, showing effect sizes, confidence intervals, and heterogeneity across multiple studies.

Generate correlation matrices and plots for gene expression data, showing relationships between variables with statistical significance.

Create fish plots for visualizing clonal evolution in cancer, showing changes in clone sizes over time or treatment.

Create lollipop plots for visualizing protein mutations and their positions, commonly used in cancer genomics and variant analysis.

Generate rainfall plots to visualize mutation density across genomic coordinates, identifying kataegis and mutational hotspots.

Create Kaplan-Meier survival curves for time-to-event data analysis, commonly used in clinical studies and oncology research.

Generate ridge plots (joyplots) for comparing distributions of gene expression, mutation frequencies, or other continuous variables across groups.