Use when working with Escher for metabolic pathway visualization, map editing, data overlay, or embedding interactive maps in notebooks and web pages. Covers the browser Builder and Viewer, the Python
Use with AI
Install the MCP server or CLI to instantly fetch Escher documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/escher
Bandage (a Bioinformatics Application for Navigating De novo Assembly Graphs Easily) — interactive visualization tool for de novo assembly graphs in GFA and FASTG formats. Visualize genome assembly gr
1 shared topic • 1 shared operation
ggplot2 — grammar of graphics implementation in R for creating complex, layered statistical visualizations. Supports scatter plots, bar charts, histograms, boxplots, heatmaps, faceted plots, and custo
1 shared topic • 1 shared operation
gt (Grammar of Tables) — R package for creating beautifully formatted, publication-ready display tables from data frames and tibbles. Provides a layered API for headers, spanners, column labels, numer
1 shared topic • 1 shared operation
Matplotlib — comprehensive Python library for creating static, animated, and interactive visualizations. Provides publication-quality figures with fine-grained control over every plot element via the
1 shared topic • 1 shared operation
Seaborn — statistical data visualization library built on matplotlib. Provides high-level functions for relational plots (scatterplot, lineplot), distribution plots (histplot, kdeplot, ecdfplot), cate
1 shared topic • 1 shared operation