Phylogenetic Tree Styler

Source: https://github.com/aipoch/medical-research-skills

Phylogenetic Tree Styler

When to Use

• Use this skill when the task needs Beautify phylogenetic trees with taxonomy color blocks, bootstrap values.
• Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

See ## Features above for related details.

• Scope-focused workflow aligned to: Analyze data with phylogenetic-tree-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
• Packaged executable path(s): scripts/main.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python 3.8+
• ete3
• matplotlib
• numpy
• pandas

Install dependencies:

pip install ete3 matplotlib numpy pandas

Example Usage

See ## Usage above for related details.

cd "20260318/scientific-skills/Data Analytics/phylogenetic-tree-styler"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/main.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/main.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

python -m py_compile scripts/main.py

# Example invocation: python scripts/main.py --help

# Example invocation: python scripts/main.py --input "Audit validation sample with explicit symptoms, history, assessment, and next-step plan." --format json

Workflow

1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Features

Beautify phylogenetic trees, add taxonomy color blocks, Bootstrap values, and timelines.

Usage

python3 scripts/main.py --input <input_tree.nwk> --output <output.png> [options]

Parameters

Examples

Basic Beautification

python3 scripts/main.py -i tree.nwk -o tree_basic.png

Show Bootstrap Values

python3 scripts/main.py -i tree.nwk -o tree_bootstrap.png --show-bootstrap --bootstrap-threshold 70

Add Taxonomy Color Blocks

python3 scripts/main.py -i tree.nwk -o tree_taxonomy.png --taxonomy-file taxonomy.csv

Add Timeline

python3 scripts/main.py -i tree.nwk -o tree_timeline.png --show-timeline --root-age 500

Comprehensive Usage

python3 scripts/main.py -i tree.nwk -o tree_full.png \
    --show-bootstrap --bootstrap-threshold 70 \
    --taxonomy-file taxonomy.csv \
    --show-timeline --root-age 500

Taxonomy Information File Format

taxonomy.csv example:

name,domain,phylum,class
Species_A,Bacteria,Proteobacteria,Gammaproteobacteria
Species_B,Bacteria,Firmicutes,Bacilli
Species_C,Archaea,Euryarchaeota,Methanobacteria

Input Format

Supports standard Newick format (.nwk or .newick):

((A:0.1,B:0.2)95:0.3,(C:0.4,D:0.5)88:0.6);

Bootstrap values can be placed at node label positions (like the 95, 88 above).

Risk Assessment

Security Checklist

• No hardcoded credentials or API keys
• No unauthorized file system access (../)
• Output does not expose sensitive information
• Prompt injection protections in place
• Input file paths validated (no ../ traversal)
• Output directory restricted to workspace
• Script execution in sandboxed environment
• Error messages sanitized (no stack traces exposed)
• Dependencies audited

Prerequisites

No additional Python packages required.