Tagged charts

Draw sequence logos from aligned motifs with bits or probability encoding

Add p-value brackets and significance asterisks to distribution plots

Build UpSet plots to compare set overlaps beyond what Venn diagrams can show

Build volcano and MA plots with LFC shrinkage and FDR thresholds

Plot DE diagnostics like MA plots, volcano plots and sample PCA from DESeq2

Plot RNA modification metagene profiles, peak heatmaps and browser tracks

Render Hi-C contact matrices with proper transforms and colormaps

Turn metagenome profiler tables into honest figures and diversity statistics

Plot enrichment results as dotplots and networks that collapse redundant gene sets

Draw and export phylogenetic trees with matplotlib, ggtree and iTOL

Export journal-ready matplotlib and ggplot2 figures with embedded fonts and sizing

Plot spatial expression and clusters on tissue with Squidpy and Scanpy

Draw TCR and BCR repertoire figures like V-J chord plots and clonal tracking

Style MATLAB charts with color palettes, colormaps and dark mode themes

Create and customize line, scatter, bar and heatmap charts in MATLAB

Get equity research, charts, SEC filings and macro calendars for tokenized US stocks

Polish paper figures and milestone charts through render, inspect and revise passes

Run FastQC and MultiQC sequencing quality control with charts and an MCP server

Extract numeric data from plot images like bar charts, scatter plots and survival curves

Chart bulk RNA-seq and single-cell marker results with publication-ready figures

Run gene-set pathway enrichment across KEGG, GO, Reactome and more with charts

Build real-time 3D browser games and visualizations with Babylon.js

Create and validate Lightning reports with groupings, filters and charts

Build data-driven slide decks in React with Vite and Recharts charts

Apply Power BI report design rules for hierarchy, color, charts and KPI cards

Create matplotlib and seaborn visuals inside Power BI reports

Build ggplot2 R visuals and chart scripts for Power BI report pages

Build model-driven Power Apps from plain language with forms, views and charts

Pick plot types, colors and formatting for publication-ready cognitive science figures

Apply publication figure style rules for fonts, ticks, legends and 300-dpi saves

Run Python snippets for data analysis, charts and quick scripts with resource limits

Create and edit Excel workbooks with formulas, charts and formatting using openpyxl

Make publication-quality plots and charts with matplotlib and seaborn

Make scientific plots and charts with Matplotlib

Analyze graphs with community detection, centrality and network visualization

Build and visualize phylogenetic trees with MAFFT, IQ-TREE and FastTree

Build interactive charts with hover, zoom and pan for dashboards

Extract and visualize simulation output with time series and report generation

Create publication-quality scientific figures with matplotlib, seaborn and plotly