name: bio-alignment-io
description: Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.
tool_type: python
primary_tool: Bio.AlignIO
Alignment File I/O
Read, write, and convert multiple sequence alignment files in various formats.
Required Import
from Bio import AlignIO
from Bio.Align import MultipleSeqAlignment
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
Supported Formats
| Format | Extension | Read | Write | Description |
|---|
clustal | .aln | Yes | Yes | Clustal W/X output |
fasta | .fasta, .fa | Yes | Yes | Aligned FASTA |
phylip | .phy | Yes | Yes | Interleaved PHYLIP |
phylip-sequential | .phy | Yes | Yes | Sequential PHYLIP |
phylip-relaxed | .phy | Yes | Yes | PHYLIP with long names |
stockholm | .sto, .stk | Yes | Yes | Pfam/Rfam annotated |
nexus | .nex | Yes | Yes | NEXUS format |
emboss | .txt | Yes | No | EMBOSS tools output |
fasta-m10 | .txt | Yes | No | FASTA -m 10 output |
maf | .maf | Yes | Yes | Multiple Alignment Format |
mauve | .xmfa | Yes | No | progressiveMauve output |
msf | .msf | Yes | No | GCG MSF format |
Reading Alignments
Single Alignment File
from Bio import AlignIO
alignment = AlignIO.read('alignment.aln', 'clustal')
print(f'Alignment length: {alignment.get_alignment_length()}')
print(f'Number of sequences: {len(alignment)}')
Multiple Alignments in One File
for alignment in AlignIO.parse('multi_alignment.sto', 'stockholm'):
print(f'Alignment with {len(alignment)} sequences, length {alignment.get_alignment_length()}')
Read as List
alignments = list(AlignIO.parse('alignments.phy', 'phylip'))
print(f'Read {len(alignments)} alignments')
Writing Alignments
Write Single Alignment
AlignIO.write(alignment, 'output.fasta', 'fasta')
Write Multiple Alignments
alignments = [alignment1, alignment2, alignment3]
count = AlignIO.write(alignments, 'output.sto', 'stockholm')
print(f'Wrote {count} alignments')
Write to Handle
with open('output.aln', 'w') as handle:
AlignIO.write(alignment, handle, 'clustal')
Format Conversion
Direct Conversion (Most Efficient)
AlignIO.convert('input.aln', 'clustal', 'output.phy', 'phylip')
With Alphabet Specification
AlignIO.convert('input.sto', 'stockholm', 'output.nex', 'nexus', molecule_type='DNA')
Manual Conversion (When Modification Needed)
alignment = AlignIO.read('input.aln', 'clustal')
# ... modify alignment ...
AlignIO.write(alignment, 'output.fasta', 'fasta')
Accessing Alignment Data
alignment = AlignIO.read('alignment.aln', 'clustal')
# Iterate over sequences
for record in alignment:
print(f'{record.id}: {record.seq}')
# Access by index
first_seq = alignment[0]
last_seq = alignment[-1]
# Slice columns
column_slice = alignment[:, 10:20] # Columns 10-19
# Get specific column
column = alignment[:, 5] # Column 5 as string
Working with Alignment Objects
Get Alignment Properties
alignment = AlignIO.read('alignment.aln', 'clustal')
length = alignment.get_alignment_length()
num_seqs = len(alignment)
seq_ids = [record.id for record in alignment]
Slice Alignments
# Get subset of sequences
subset = alignment[0:5] # First 5 sequences
# Get subset of columns
trimmed = alignment[:, 50:150] # Columns 50-149
# Combine slicing
region = alignment[0:5, 50:150] # 5 sequences, columns 50-149
Creating Alignments Programmatically
from Bio.Align import MultipleSeqAlignment
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
records = [
SeqRecord(Seq('ACTGACTGACTG'), id='seq1'),
SeqRecord(Seq('ACTGACT-ACTG'), id='seq2'),
SeqRecord(Seq('ACTG-CTGACTG'), id='seq3'),
]
alignment = MultipleSeqAlignment(records)
AlignIO.write(alignment, 'new_alignment.fasta', 'fasta')
Format-Specific Notes
PHYLIP Format
# Standard PHYLIP (10 char names, interleaved)
alignment = AlignIO.read('file.phy', 'phylip')
# Sequential PHYLIP
alignment = AlignIO.read('file.phy', 'phylip-sequential')
# Relaxed PHYLIP (allows longer names)
alignment = AlignIO.read('file.phy', 'phylip-relaxed')
Stockholm Format (with Annotations)
alignment = AlignIO.read('pfam.sto', 'stockholm')
# Access annotations
for record in alignment:
print(record.id, record.annotations)
Clustal Format
# Clustal preserves conservation symbols in file but not when parsed
alignment = AlignIO.read('clustal.aln', 'clustal')
Batch Processing Multiple Files
from pathlib import Path
input_dir = Path('alignments/')
output_dir = Path('converted/')
for input_file in input_dir.glob('*.aln'):
alignment = AlignIO.read(input_file, 'clustal')
output_file = output_dir / f'{input_file.stem}.fasta'
AlignIO.write(alignment, output_file, 'fasta')
Alternative: Bio.Align Module I/O
The newer Bio.Align module provides its own I/O functions that return Alignment objects (instead of MultipleSeqAlignment). These support additional formats and provide access to modern alignment features.
from Bio import Align
# Read single alignment (returns Alignment object)
alignment = Align.read('alignment.aln', 'clustal')
# Parse multiple alignments
for alignment in Align.parse('multi.sto', 'stockholm'):
print(f'Alignment with {len(alignment)} sequences')
# Write alignment
Align.write(alignment, 'output.fasta', 'fasta')
When to Use Which
| Use Case | Module |
|---|
| Legacy code, MultipleSeqAlignment needed | Bio.AlignIO |
| Modern features (counts, substitutions) | Bio.Align |
| Format conversion | Either works |
| Working with pairwise alignments | Bio.Align |
Quick Reference: Common Operations
| Task | Code |
|---|
| Read single alignment | AlignIO.read(file, format) |
| Read multiple alignments | AlignIO.parse(file, format) |
| Write alignment(s) | AlignIO.write(align, file, format) |
| Convert format | AlignIO.convert(in_file, in_fmt, out_file, out_fmt) |
| Get length | alignment.get_alignment_length() |
| Get sequence count | len(alignment) |
| Slice columns | alignment[:, start:end] |
Common Errors
| Error | Cause | Solution |
|---|
ValueError: No records | Empty file | Check file path and format |
ValueError: More than one record | Multiple alignments with read() | Use parse() instead |
ValueError: Sequences different lengths | Invalid alignment | Ensure all sequences same length |
ValueError: unknown format | Unsupported format string | Check supported formats list |
Related Skills
- pairwise-alignment - Create pairwise alignments with PairwiseAligner
- msa-parsing - Analyze alignment content and annotations
- msa-statistics - Calculate conservation and identity
- sequence-io/format-conversion - Convert sequence (non-alignment) formats