ETE Toolkit Skill
SkillFiles & storageManipulate, annotate, and render phylogenetic trees programmatically with the ETE Toolkit (ete3) — parse and edit Newick/NHX, detect duplication/speciation events, infer orthology and paralogy, query NCBI taxonomy, and export PDF/SVG figures. Use when traversing or reformatting tree files, doing phylogenomic comparative analysis, or producing publication tree graphics in Python. Part of the AlterLab Academic Skills suite.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the ETE Toolkit Skill skill
What this skill tells your AI
The instructions your AI receives, as published by alterlab-ieu/alterlab-academic-skills in skills/bioinformatics/alterlab-etetoolkit/SKILL.md and read by ahel’s review.
Overview
ETE (Environment for Tree Exploration) is a toolkit for phylogenetic and hierarchical tree analysis. Manipulate trees, analyze evolutionary events, visualize results, and integrate with biological databases for phylogenomic research and clustering analysis.
When to Use
- Parsing, traversing, or reformatting tree files (Newick / NHX / PhyloXML / NeXML)
- Pruning, rooting, collapsing, or resolving polytomies in a tree
- Detecting duplication/speciation events and inferring orthologs/paralogs from gene trees
- Querying NCBI Taxonomy (taxid/name translation, lineages, taxonomy trees)
- Producing publication-quality PDF/SVG/PNG tree figures
- Comparing trees (Robinson-Foulds) or analyzing clustering dendrograms
Core Capabilities
ETE exposes six capability areas. Each has detailed, copy-ready code in the references (see Index below).
- Tree manipulation — I/O across formats, traversal (pre/post/levelorder), topology edits (prune, root, collapse), distances, RF tree comparison.
- Phylogenetic analysis — alignment linkage, species naming, duplication/speciation detection (Species Overlap or reconciliation), orthology/paralogy.
- NCBI Taxonomy — local cached DB, taxid↔name translation, lineage retrieval, taxonomy-tree building, tree annotation.
- Visualization — PNG/PDF/SVG export, rectangular/circular layouts,
NodeStyle,Faceobjects, layout functions, interactive GUI. - Clustering analysis —
ClusterTree, data-matrix linking, silhouette/Dunn metrics, heatmap views. - Tree comparison — Robinson-Foulds (raw + normalized), partition/bipartition analysis, batch pairwise distance matrices.
Core Workflow
The canonical minimal pattern — load, edit, save:
from ete3 import Tree
# Load tree from file (format 1 = with internal node names)
tree = Tree("tree.nw", format=1)
# Prune to taxa of interest, preserving branch lengths
tree.prune(["species1", "species2", "species3"], preserve_branch_length=True)
# Midpoint root
tree.set_outgroup(tree.get_midpoint_outgroup())
# Save
tree.write(outfile="rooted_tree.nw")
For class selection: use Tree/TreeNode for generic topology work, PhyloTree for gene
trees and evolutionary analysis, ClusterTree for dendrograms with data matrices, and
NCBITaxa for taxonomy queries.
Command-Line Scripts
scripts/tree_operations.py— stats, format conversion, rerooting, pruning, ASCII view. Example:python scripts/tree_operations.py reroot tree.nw rooted.nw --midpointscripts/quick_visualize.py— rapid PDF/PNG rendering with circular layout, support coloring, and DPI control. Example:python scripts/quick_visualize.py tree.nw out.pdf --mode c --color-by-support
Reference Index
Load the relevant file when detailed information is needed:
references/api_reference.md— Complete API for all ETE classes/methods (Tree,PhyloTree,ClusterTree,NCBITaxa): parameters, return types, code examples.references/workflows.md— Per-task workflow patterns (tree operations, phylogenetic analysis, comparison, taxonomy integration, clustering).references/visualization.md— Full visualization guide:TreeStyle,NodeStyle,Faces, layout functions, advanced rendering.references/use_cases.md— End-to-end worked use cases (phylogenomic pipeline, batch preprocessing, publication figures, automated multi-tree analysis).references/setup_and_troubleshooting.md— Installation, NCBI Taxonomy first-run setup, and troubleshooting (imports, Qt rendering, memory, DB corruption).references/newick_and_best_practices.md— Newick/NHX format specifications (0-100) and best-practice checklist.
Signals
- GitHub stars
- 66
- Forks
- 13
- Last commit
- Sep 2026
Advanced
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alterlab-etetoolkit- Source
- github.com/alterlab-ieu/alterlab-academic-skills