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Phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
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# Phylogenetics
## Overview
Phylogenetic analysis reconstructs the evolutionary history of biological sequences (genes, proteins, genomes) by inferring the branching pattern of descent. This skill covers the standard pipeline:
1. **MAFFT** — Multiple sequence alignment
2. **IQ-TREE 2** — Maximum likelihood tree inference with model selection
3. **FastTree** — Fast approximate maximum likelihood (for large datasets)
4. **ETE3** — Python library for tree manipulation and visualization
**Installation:**
```bash
# Conda (recommended for CLI tools)
conda install -c bioconda mafft iqtree fasttree
pip install ete3
```
## When to Use This Skill
Use phylogenetics when:
- **Evolutionary relationships**: Which organism/gene is most closely related to my sequence?
- **Viral phylodynamics**: Trace outbreak spread and estimate transmission dates
- **Protein family analysis**: Infer evolutionary relationships within a gene family
- **Horizontal gene transfer detection**: Identify genes with discordant species/gene trees
- **Ancestral sequence reconstruction**: Infer ancestral protein sequences
- **Molecular clock analysis**: Estimate divergence dates using temporal sampling
- **GWAS companion**: Place variants in evolutionary context (e.g., SARS-CoV-2 variants)
- **Microbiology**: Species phylogeny from 16S rRNA or core genome phylogeny
## Standard Workflow
### 1. Multiple Sequence Alignment with MAFFT
```python
import subprocess
import os
def run_mafft(input_fasta: str, output_fasta: str, method: str = "auto",
n_threads: int = 4) -> str:
"""
Align sequences with MAFFT.
Args:
input_fasta: Path to unaligned FASTA file
output_fasta: Path for aligned output
method: 'auto' (auto-select), 'einsi' (accurate), 'linsi' (accurate, slow),
'fftnsi' (medium), 'fftns' (fast), 'retree2' (fast)
n_threads: Number of CPU threads#broad-capability#science#math#biology#chemistry#medicine#research#bioinformaticspythonmafftiqtree2fasttreeete3