| name | seq-objects |
| description | Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, or building annotated sequence records. |
| tool_type | python |
| primary_tool | Bio.Seq |
Version Compatibility
Reference examples tested with: BioPython 1.83+
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.
Seq Objects
Create and manipulate biological sequence objects using Biopython.
"Create a sequence object" -> Wrap a raw string in a typed sequence container for biological operations.
- Immutable:
Seq('ATGC') (BioPython) — string-like, supports complement/translate
- Mutable:
MutableSeq('ATGC') (BioPython) — supports in-place edits
- Annotated:
SeqRecord(Seq(...), id=...) (BioPython) — adds metadata for file I/O
Required Imports
from Bio.Seq import Seq, MutableSeq
from Bio.SeqRecord import SeqRecord
Core Objects
Seq - Immutable Sequence
The basic sequence object. Immutable like Python strings.
seq = Seq('ATGCGATCGATCG')
Seq objects support string-like operations:
len(seq)
seq[0]
seq[-1]
seq[0:10]
str(seq)
'ATG' in seq
seq.count('G')
seq.find('ATG')
seq.upper()
seq.lower()
seq * 3
seq.strip()
MutableSeq - Mutable Sequence
For in-place modifications when performance matters.
mut_seq = MutableSeq('ATGCGATCG')
mut_seq[0] = 'C'
mut_seq[0:3] = 'GGG'
mut_seq.append('A')
mut_seq.insert(0, 'G')
mut_seq.pop()
mut_seq.remove('G')
mut_seq.reverse()
Convert between types:
seq = Seq(mut_seq)
mut_seq = MutableSeq(seq)
SeqRecord - Annotated Sequence
Sequence with metadata for file I/O and analysis.
record = SeqRecord(
Seq('ATGCGATCG'),
id='gene1',
name='example_gene',
description='An example gene sequence'
)
SeqRecord attributes:
record.seq
record.id
record.name
record.description
record.features
record.annotations
record.letter_annotations
record.dbxrefs
SeqRecord Methods
Goal: Transform entire records while preserving metadata.
Approach: Use SeqRecord methods that return new records with features remapped to new coordinates.
rc_record = record.reverse_complement(id='gene1_rc', description='reverse complement')
protein_record = record.translate(id='gene1_protein')
fasta_str = record.format('fasta')
genbank_str = record.format('genbank')
Slicing preserves features (adjusted to new coordinates):
subset = record[10:50]
Code Patterns
Create Seq from String
dna = Seq('ATGCGATCGATCG')
rna = Seq('AUGCGAUCGAUCG')
protein = Seq('MRCRS')
Create SeqRecord for File Output
record = SeqRecord(Seq('ATGCGATCG'), id='seq1', description='My sequence')
Create SeqRecord with Annotations
record = SeqRecord(Seq('ATGCGATCG'), id='gene1', description='Example')
record.annotations['organism'] = 'Homo sapiens'
record.annotations['molecule_type'] = 'DNA'
Build SeqRecord from Parsed Data
from Bio.SeqFeature import SeqFeature, FeatureLocation
record = SeqRecord(Seq('ATGCGATCGATCG'), id='gene1')
feature = SeqFeature(FeatureLocation(0, 9), type='CDS', qualifiers={'product': ['Example protein']})
record.features.append(feature)
Batch Create SeqRecords
sequences = ['ATGC', 'GCTA', 'TTAA']
records = [SeqRecord(Seq(s), id=f'seq_{i}') for i, s in enumerate(sequences)]
Copy a SeqRecord
from copy import deepcopy
new_record = deepcopy(record)
new_record.id = 'modified_copy'
Modify SeqRecord Sequence
record = SeqRecord(Seq('ATGCGATCG'), id='seq1')
record.seq = Seq('GGGGGATCG')
Join Sequences into One SeqRecord
combined_seq = seq1 + Seq('NNNN') + seq2
combined_record = SeqRecord(combined_seq, id='combined')
Transform SeqRecord with reverse_complement
record = SeqRecord(Seq('ATGCGATCGATCG'), id='gene1', description='Forward strand')
rc_record = record.reverse_complement(id=f'{record.id}_rc', description='Reverse complement')
Translate SeqRecord to Protein
cds_record = SeqRecord(Seq('ATGCGATCGATCGTAA'), id='cds1', description='Coding sequence')
protein_record = cds_record.translate(id=f'{cds_record.id}_protein', to_stop=True)
Quick Output with format()
record = SeqRecord(Seq('ATGCGATCG'), id='seq1', description='Example sequence')
print(record.format('fasta'))
Common Errors
| Error | Cause | Solution |
|---|
TypeError: 'Seq' object does not support item assignment | Trying to modify immutable Seq | Use MutableSeq instead |
TypeError: SeqRecord object argument must be a Seq object | Passed string instead of Seq | Wrap string in Seq() |
| Missing annotations in output | Didn't set required annotations | Add molecule_type to annotations for GenBank output |
Decision Tree
Need to work with sequence data?
├── Just doing string-like operations?
│ └── Use Seq
├── Need to modify sequence in-place?
│ └── Use MutableSeq
├── Need metadata (ID, description, features)?
│ └── Use SeqRecord
└── Need to write to file?
└── Use SeqRecord with appropriate annotations
Related Skills
- sequence-io/read-sequences - Parse files to get SeqRecord objects
- sequence-io/write-sequences - Write SeqRecord objects to files
- transcription-translation - Transform Seq objects (DNA to protein)
- reverse-complement - Get reverse complement of Seq
- sequence-slicing - Slice and extract from Seq/SeqRecord
- database-access/entrez-fetch - Fetch sequences from NCBI as SeqRecords