sequence-io/write-sequences/SKILL.md
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when saving sequences, creating new sequence files, or outputting modified records.
npx skillsauth add GPTomics/bioSkills bio-write-sequencesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Reference examples tested with: BioPython 1.83+
Before using code patterns, verify installed versions match. If versions differ:
pip show <package> then help(module.function) to check signaturesIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
"Write sequences to a file" -> Serialize SeqRecord objects into a formatted sequence file.
SeqIO.write() (BioPython)writeXStringSet() (Biostrings)The write is only as complete as the SeqRecord. Each format reads specific record fields and silently ignores the rest, so what survives a write is decided by which fields are populated before the call, not by the format string. FASTA serializes only id/description+seq; FASTQ additionally requires letter_annotations['phred_quality']; GenBank/EMBL additionally require annotations['molecule_type']. Populate the fields a format needs, or the write either drops data quietly (FASTA) or raises (FASTQ/GenBank).
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
SeqIO.write(records, 'output.fasta', 'fasta')
records - Single SeqRecord, list, or iterator of SeqRecordshandle - Filename (string) or open file handleformat - Lowercase output format stringformatted = record.format('fasta')
FASTA output is built from record.description, NOT record.id. The writer compares the first whitespace token of description to id: if they match it writes description as-is; otherwise it prepends id + a space. When a record is parsed from FASTA, description already leads with the id token, so a round trip is faithful. But when id and description are set independently, a stale id-like token inside the description gets duplicated, and older BioPython releases dropped the id entirely instead of prepending it.
| record.id | record.description | Header written |
|-----------|--------------------|----------------|
| seq1 | seq1 kinase domain | >seq1 kinase domain (clean: description leads with id) |
| seq1 | kinase domain | >seq1 kinase domain (id auto-prepended) |
| seq1 | `` (empty) | >seq1 (id used as fallback) |
| seq1 | gene7 kinase domain | >seq1 gene7 kinase domain (stale id duplicated) |
To control the header exactly and stay robust across versions, make description begin with id + a space: description=f'{rec_id} kinase domain'. The FASTA writer wraps the sequence at 60 characters per line by default.
| Format | String | Record fields read | Hard requirement |
|--------|--------|--------------------|------------------|
| FASTA | 'fasta' | id/description, seq | none (header trap above) |
| FASTQ | 'fastq' | seq, letter_annotations | phred quality scores |
| GenBank | 'genbank' / 'gb' | seq, annotations, features | molecule_type |
| EMBL | 'embl' | seq, annotations, features | molecule_type |
| Tab | 'tab' | id, seq | none |
Goal: Construct in-memory records that carry the fields the target format requires.
Approach: Build a SeqRecord from a Seq plus id; add letter_annotations['phred_quality'] for FASTQ and annotations['molecule_type'] for GenBank/EMBL.
"Create a sequence record from scratch" -> Wrap a Seq in a SeqRecord with metadata.
SeqRecord(Seq(...), id=...) (BioPython)record = SeqRecord(Seq('ATGCGATCGATCG'), id='seq1', description='seq1 example sequence')
records = [SeqRecord(Seq('ATGC'), id='seq1'), SeqRecord(Seq('GCTA'), id='seq2')]
count = SeqIO.write(records, 'output.fasta', 'fasta')
with open('output.fasta', 'w') as handle:
SeqIO.write(records, handle, 'fasta')
with open('output.fasta', 'a') as handle:
SeqIO.write(new_records, handle, 'fasta')
Goal: Transform sequences in memory and write the modified versions to a new file.
Approach: Parse input, map a transform over a generator, write the generator. Streaming avoids loading every record into RAM.
"Modify sequences and save" -> Parse records, transform each, write with SeqIO.write().
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')
FASTQ requires letter_annotations['phred_quality'] as a list of ints. letter_annotations is length-locked to len(seq): assigning a list whose length differs from the sequence raises. Set the sequence first, then the quality list of matching length.
record = SeqRecord(Seq('ATGCGATCG'), id='read1')
record.letter_annotations['phred_quality'] = [40] * len(record.seq)
SeqIO.write(record, 'output.fastq', 'fastq')
When both phred_quality and solexa_quality keys are present, the writer uses Phred. Writing 'fastq-solexa' from a Phred-only record forces an on-the-fly lossy conversion (the scales diverge in the low-quality region) and emits a BiopythonWarning once any score reaches the high end (max quality >= ~62). For modern data, write plain 'fastq' (Sanger/Phred+33); only use 'fastq-solexa'/'fastq-illumina' when a tool explicitly demands that legacy encoding.
GenBank and EMBL writing requires annotations['molecule_type'] (the alphabet that once carried this was removed in BioPython 1.78). Missing it raises on write.
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')
| Symptom | Cause | Fix |
|---------|-------|-----|
| Header has a duplicated or mangled id | FASTA builds the header from description; it does not lead with id + space | Set description=f'{rec.id} ...' or leave description empty to fall back to id |
| ValueError: No suitable quality scores found in letter_annotations of SeqRecord (id=...) on FASTQ write | Record has no letter_annotations['phred_quality'] | Assign record.letter_annotations['phred_quality'] = [q]*len(seq) |
| TypeError: Any per-letter annotation should be a Python sequence ... of the same length | Quality list length != len(seq) (annotations are length-locked) | Set seq first, then a quality list of matching length |
| ValueError: missing molecule_type ... on GenBank/EMBL write | No annotations['molecule_type'] since the 1.78 alphabet removal | Add record.annotations['molecule_type'] = 'DNA' (or 'RNA'/'protein') |
| BiopythonWarning: Data loss - max Solexa quality ... | Writing 'fastq-solexa' from a high Phred-only record forces lossy conversion | Write plain 'fastq' unless a tool requires the Solexa encoding |
| TypeError passing a raw str/Seq to write | SeqIO.write expects SeqRecord(s) | Wrap the sequence in a SeqRecord first |
| ValueError: Sequences must all be the same length | PHYLIP/alignment format with unequal lengths | Align, pad, or trim to equal length first |
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