bio-write-sequences
SkillFiles & storageWrite biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when saving sequences, creating new sequence files, or outputting modified records.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the bio-write-sequences skill
What this skill tells your AI
The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-write-sequences/SKILL.md and read by ahel’s review.
Version Compatibility
Reference examples tested with: BioPython 1.83+, pysam 0.22+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(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.
Write Sequences
"Write sequences to a file" → Serialize SeqRecord objects into a formatted sequence file.
- Python:
SeqIO.write()(BioPython) - R:
writeXStringSet()(Biostrings)
Write SeqRecord objects to sequence files using Biopython's Bio.SeqIO module.
Required Import
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
Core Functions
SeqIO.write() - Write Records to File
Write one or more SeqRecord objects to a file.
SeqIO.write(records, 'output.fasta', 'fasta')
Parameters:
records- Single SeqRecord, list, or iterator of SeqRecordshandle- Filename (string) or file handleformat- Output format string
Returns: Number of records written (integer)
record.format() - Get Formatted String
Get a string representation without writing to file.
formatted = record.format('fasta')
print(formatted)
Creating SeqRecord Objects
Goal: Construct in-memory sequence records suitable for writing to any format.
Approach: Create SeqRecord with at minimum a Seq and id. Add letter_annotations for FASTQ, annotations['molecule_type'] for GenBank/EMBL.
"Create a sequence record from scratch" → Wrap a Seq string in a SeqRecord with metadata fields.
- Python:
SeqRecord(Seq(...), id=...)(BioPython)
Minimal SeqRecord
record = SeqRecord(Seq('ATGCGATCGATCG'), id='seq1')
Full SeqRecord
record = SeqRecord(
Seq('ATGCGATCGATCG'),
id='seq1',
name='sequence_one',
description='Example sequence for demonstration'
)
With Annotations (for GenBank output)
from Bio.SeqFeature import SeqFeature, FeatureLocation
record = SeqRecord(
Seq('ATGCGATCGATCG'),
id='seq1',
annotations={'molecule_type': 'DNA'}
)
record.features.append(
SeqFeature(FeatureLocation(0, 9), type='gene', qualifiers={'gene': ['exampleGene']})
)
Common Formats
| Format | String | Notes |
|---|---|---|
| FASTA | 'fasta' | Most universal, sequence + header only |
| FASTQ | 'fastq' | Requires quality scores in letter_annotations |
| GenBank | 'genbank' | Requires annotations and molecule_type |
| EMBL | 'embl' | Similar requirements to GenBank |
| Tab | 'tab' | Simple ID + sequence tabular format |
Code Patterns
Write Single Record
record = SeqRecord(Seq('ATGC'), id='my_seq', description='test sequence')
SeqIO.write(record, 'output.fasta', 'fasta')
Write Multiple Records
records = [
SeqRecord(Seq('ATGC'), id='seq1'),
SeqRecord(Seq('GCTA'), id='seq2'),
SeqRecord(Seq('TTAA'), id='seq3')
]
count = SeqIO.write(records, 'output.fasta', 'fasta')
print(f'Wrote {count} records')
Write to File Handle
with open('output.fasta', 'w') as handle:
SeqIO.write(records, handle, 'fasta')
Write Modified Records
Goal: Transform sequences in-memory and write the modified versions to a new file.
Approach: Parse input, apply transformation via generator, write output. Using a generator avoids loading all records into memory.
"Modify sequences and save" → Parse records, transform each, write to new file with SeqIO.write().
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
def uppercase_record(rec):
return SeqRecord(rec.seq.upper(), id=rec.id, description=rec.description)
records = SeqIO.parse('input.fasta', 'fasta')
modified = (uppercase_record(rec) for rec in records)
SeqIO.write(modified, 'output.fasta', 'fasta')
Append to Existing File
with open('output.fasta', 'a') as handle:
SeqIO.write(new_records, handle, 'fasta')
Write FASTQ with Quality Scores
record = SeqRecord(Seq('ATGCGATCG'), id='read1')
record.letter_annotations['phred_quality'] = [30, 30, 28, 25, 30, 30, 28, 25, 30]
SeqIO.write(record, 'output.fastq', 'fastq')
Write GenBank Format
record = SeqRecord(Seq('ATGCGATCGATCG'), id='SEQ001', name='example')
record.annotations['molecule_type'] = 'DNA'
record.annotations['topology'] = 'linear'
record.annotations['organism'] = 'Example organism'
SeqIO.write(record, 'output.gb', 'genbank')
Common Errors
| Error | Cause | Solution |
|---|---|---|
TypeError: SeqRecord expected | Passed raw string/Seq | Wrap in SeqRecord object |
ValueError: missing molecule_type | GenBank without annotations | Add record.annotations['molecule_type'] = 'DNA' |
ValueError: missing quality scores | FASTQ without phred_quality | Add quality scores to letter_annotations |
ValueError: Sequences must all be the same length | PHYLIP with unequal lengths | Pad or trim sequences first |
Format-Specific Requirements
FASTQ
Must have quality scores:
record.letter_annotations['phred_quality'] = [30] * len(record.seq)
GenBank/EMBL
Must have molecule_type:
record.annotations['molecule_type'] = 'DNA' # or 'RNA', 'protein'
PHYLIP
All sequences must be same length. IDs truncated to 10 characters.
Related Skills
- read-sequences - Read sequences before modifying and writing
- format-conversion - Direct format conversion without intermediate processing
- filter-sequences - Filter sequences before writing subset
- sequence-manipulation/seq-objects - Create SeqRecord objects to write
- alignment-files - For SAM/BAM output, use samtools/pysam
Signals
- GitHub stars
- 3k
- Forks
- 412
- Last commit
- Jul 2026
ahel review
K1binfo
installs-packages (in usage-guide.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
bio-write-sequences- Source
- github.com/freedomintelligence/openclaw-medical-skills
github.com/freedomintelligence/openclaw-medical-skills
Related picks
Skill · wshobson
The pick for Pythonpython-pro
Skill · jeffallan
The pick for Pythonpptx
Skill · anthropics
More in Files & storagedocx
Skill · anthropics
More in Files & storageresearch
Skill · mattpocock
More in Files & storageto-tickets
Skill · mattpocock
More in Files & storage