home / skills / gptomics / bioskills / tree-io
This skill reads, writes, and converts phylogenetic trees across Newick, Nexus, PhyloXML, and NeXML formats using Biopython.
npx playbooks add skill gptomics/bioskills --skill tree-ioReview the files below or copy the command above to add this skill to your agents.
---
name: bio-phylo-tree-io
description: Read, write, and convert phylogenetic tree files using Biopython Bio.Phylo. Use when parsing Newick, Nexus, PhyloXML, or NeXML tree formats, converting between formats, or handling multiple trees.
tool_type: python
primary_tool: Bio.Phylo
---
## Version Compatibility
Reference examples tested with: BioPython 1.83+, scanpy 1.10+
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.
# Tree I/O
**"Read and convert my phylogenetic tree files"** → Parse trees from Newick, Nexus, PhyloXML, or NeXML formats and convert between formats for use in different tools.
- Python: `Bio.Phylo.read('tree.nwk', 'newick')`, `Bio.Phylo.convert()`
Parse, write, and convert phylogenetic tree files in various formats.
## Required Import
```python
from Bio import Phylo
from io import StringIO
```
## Supported Formats
| Format | Extension | Description |
|--------|-----------|-------------|
| `newick` | .nwk, .tre, .tree | Standard format with branch lengths |
| `nexus` | .nex, .nxs | Rich format with annotations (PAUP, MrBayes) |
| `phyloxml` | .xml | XML format with metadata support |
| `nexml` | .nexml | Modern XML format |
| `cdao` | .rdf | RDF format (limited use) |
## Reading Trees
```python
# Read single tree
tree = Phylo.read('tree.nwk', 'newick')
# Read multiple trees from file
trees = list(Phylo.parse('bootstrap_trees.nwk', 'newick'))
print(f'Loaded {len(trees)} trees')
# Read from string
tree_string = '((A:0.1,B:0.2):0.3,(C:0.4,D:0.5):0.6);'
tree = Phylo.read(StringIO(tree_string), 'newick')
# Read PhyloXML with metadata
tree = Phylo.read('annotated.xml', 'phyloxml')
# Read Nexus (often contains multiple trees)
trees = list(Phylo.parse('mrbayes.nex', 'nexus'))
```
## Writing Trees
```python
# Write single tree
Phylo.write(tree, 'output.nwk', 'newick')
# Write multiple trees
Phylo.write(trees, 'all_trees.nwk', 'newick')
# Write to PhyloXML (preserves metadata)
Phylo.write(tree, 'output.xml', 'phyloxml')
# Write to Nexus
Phylo.write(tree, 'output.nex', 'nexus')
```
## Serialize to String
```python
tree = Phylo.read('tree.nwk', 'newick')
# Get tree as string (useful for embedding, logging, or API responses)
newick_string = format(tree, 'newick')
print(newick_string) # ((A:0.1,B:0.2):0.3,(C:0.4,D:0.5):0.6);
# Alternative method
newick_string = tree.format('newick')
# Other formats work too
phyloxml_string = format(tree, 'phyloxml')
```
## Format Conversion
```python
# Direct file conversion
Phylo.convert('input.nwk', 'newick', 'output.xml', 'phyloxml')
Phylo.convert('mrbayes.nex', 'nexus', 'trees.nwk', 'newick')
# Convert with processing
tree = Phylo.read('input.nwk', 'newick')
tree.ladderize() # Sort branches
Phylo.write(tree, 'sorted.nwk', 'newick')
```
## Quick Tree Inspection
```python
tree = Phylo.read('tree.nwk', 'newick')
# Print ASCII representation
print(tree)
# ASCII tree diagram
Phylo.draw_ascii(tree)
# Basic tree properties
print(f'Total branch length: {tree.total_branch_length()}')
print(f'Number of terminals: {len(tree.get_terminals())}')
print(f'Is bifurcating: {tree.is_bifurcating()}')
```
## Accessing Tree Structure
```python
# Get all terminal (leaf) nodes
terminals = tree.get_terminals()
for term in terminals:
print(f'{term.name}: branch_length={term.branch_length}')
# Get all internal nodes
nonterminals = tree.get_nonterminals()
# Get all clades (nodes)
all_clades = list(tree.find_clades())
# Find specific clade by name
clade = tree.find_any(name='Human')
```
## Tree from Newick String Patterns
```python
# Simple tree (no branch lengths)
tree = Phylo.read(StringIO('((A,B),(C,D));'), 'newick')
# With branch lengths
tree = Phylo.read(StringIO('((A:0.1,B:0.2):0.3,(C:0.4,D:0.5):0.6);'), 'newick')
# With internal node names
tree = Phylo.read(StringIO('((A,B)AB,(C,D)CD)root;'), 'newick')
# With bootstrap values (internal node names)
tree = Phylo.read(StringIO('((A:0.1,B:0.2)95:0.3,(C:0.4,D:0.5)80:0.6);'), 'newick')
```
## Working with PhyloXML Metadata
```python
# PhyloXML supports rich annotations
tree = Phylo.read('annotated.xml', 'phyloxml')
for clade in tree.find_clades():
if clade.confidences:
print(f'{clade.name}: confidence={clade.confidences[0].value}')
if hasattr(clade, 'taxonomy') and clade.taxonomy:
print(f'{clade.name}: taxonomy={clade.taxonomy.scientific_name}')
# Convert Newick to PhyloXML (adds metadata capabilities)
newick_tree = Phylo.read('simple.nwk', 'newick')
phyloxml_tree = newick_tree.as_phyloxml()
```
## Handling Multiple Trees
```python
# Parse bootstrap or posterior trees
trees = list(Phylo.parse('bootstrap.nwk', 'newick'))
print(f'Loaded {len(trees)} bootstrap trees')
# Process each tree
for i, tree in enumerate(trees):
print(f'Tree {i}: {len(tree.get_terminals())} taxa')
# Write subset of trees
Phylo.write(trees[:100], 'first_100.nwk', 'newick')
```
## Iterating Over Large Tree Files
```python
# Memory-efficient iteration (doesn't load all trees at once)
for tree in Phylo.parse('large_file.nwk', 'newick'):
if tree.total_branch_length() > 1.0:
print(f'Long tree: {tree.total_branch_length()}')
```
## Common Newick Format Variations
| Input | Description |
|-------|-------------|
| `(A,B,C);` | Unrooted, no lengths |
| `((A,B),C);` | Rooted topology |
| `(A:0.1,B:0.2);` | With branch lengths |
| `((A,B)X,C);` | Internal node named X |
| `((A,B):0.5[90],C);` | Branch with bootstrap |
## Error Handling
```python
from Bio import Phylo
from io import StringIO
# Check for valid newick
tree_string = '((A,B),(C,D));'
try:
tree = Phylo.read(StringIO(tree_string), 'newick')
print('Valid tree')
except Exception as e:
print(f'Parse error: {e}')
# Handle missing branch lengths
tree = Phylo.read('tree.nwk', 'newick')
for clade in tree.find_clades():
if clade.branch_length is None:
clade.branch_length = 0.0 # Set default
```
## Format-Specific Notes
| Format | Strengths | Limitations |
|--------|-----------|-------------|
| Newick | Universal, simple | No metadata |
| Nexus | PAUP/MrBayes compatible | Complex syntax |
| PhyloXML | Rich metadata, colors | Verbose |
| NeXML | Modern, extensible | Less common |
## Related Skills
- tree-visualization - Draw and export tree figures
- tree-manipulation - Root, prune, and modify tree structure
- distance-calculations - Compute distances and build trees from alignments
- alignment/alignment-io - Read MSA files for tree construction
This skill provides a compact toolkit for reading, writing, and converting phylogenetic tree files using Biopython's Bio.Phylo. It supports Newick, Nexus, PhyloXML, NeXML, and a few RDF/CDAO variants, and is useful when you need to parse single or multiple trees, preserve metadata, or translate formats for downstream tools. It focuses on practical patterns for file I/O, string serialization, inspection, and memory-efficient parsing.
The skill uses Bio.Phylo.read, Bio.Phylo.parse, Bio.Phylo.write, and Bio.Phylo.convert to load and save trees from files or strings. It exposes simple helpers and examples to inspect tree properties (terminals, branch lengths, bifurcation), draw ASCII diagrams, and convert between formats while preserving metadata when possible (e.g., Newick -> PhyloXML). It also demonstrates streaming iteration for large tree sets and basic error handling for common parse issues.
Which formats preserve metadata best?
PhyloXML and NeXML support rich metadata. Newick is compact but contains minimal annotation; convert to PhyloXML if you need structured metadata.
How do I handle very large tree files?
Use Bio.Phylo.parse to iterate trees one-by-one rather than loading a list. Process or filter each tree immediately and write selected results to disk to keep memory use low.