I will do data analysis and data visualization for you

I create clean, publication-ready biological data visualizations that are journal-submission standard and fully customized to your data.

I offer:

• Volcano Plots: DEG visualization with labeled significant genes, custom color schemes and significance thresholds
• Heatmaps: Gene expression, correlation matrices, sample clustering with dendrograms
• PCA Plots: Sample grouping, variance explained, batch effect visualization
• Pathway Enrichment Plots: GO/KEGG dot plots, bar plots, bubble charts
• Network Graphs: PPI networks, co-expression networks, drug-target interaction maps in Cytoscape
• WGCNA Plots: Module-trait correlation heatmaps, eigengene plots, dendrogram with color bars
• Docking & Structure Figures: PyMOL binding pose renders, 2D interaction diagrams in Discovery Studio
• Box/Violin/Bar Plots: Gene expression comparisons, group statistics, clinical data summaries
• Survival Curves: Kaplan-Meier plots with p-values and confidence intervals

Tools I use:

• R ggplot2, pheatmap, ggpubr, survminer, clusterProfiler
• Python matplotlib, seaborn, plotly

Why choose me:

Every figure I make follows real journal submission standards

Actively preparing manuscript figures for peer-reviewed publications