Skip to content
cccskills
FreePublished on GitHub

bio-compressed-files

Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (3)

  • SKILL.md7.8 KB
  • examples/compressed_io.py1.6 KB
  • usage-guide.md1.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Version Compatibility

Reference examples tested with: BioPython 1.83+, samtools 1.19+

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.

Compressed Files

Handle gzip, bzip2, and BGZF compressed sequence files with Biopython.

"Read a compressed sequence file" → Open a compressed file handle in text mode, then parse with the standard SeqIO interface.

  • gzip: gzip.open(path, 'rt') (Python stdlib)
  • bzip2: bz2.open(path, 'rt') (Python stdlib)
  • BGZF: bgzf.open(path, 'rt') (BioPython) or direct SeqIO.parse(path, fmt)

"Make a compressed file indexable" → Convert to BGZF format. Only BGZF supports SeqIO.index() on compressed data.

Required Imports

import gzip
import bz2
from Bio import SeqIO
from Bio import bgzf

Reading Compressed Files

Goal: Parse sequence records from compressed files without decompressing to disk.

Approach: Open a decompression handle in text mode ('rt'), then pass the handle to SeqIO.parse(). The parser works identically to uncompressed input.

Gzip (.gz) (BioPython 1.83+)

with gzip.open('sequences.fasta.gz', 'rt') as handle:
    for record in SeqIO.parse(handle, 'fasta'):
        print(record.id, len(record.seq))

Important: Use 'rt' (read text) mode, not 'rb' (read binary).

Bzip2 (.bz2) (BioPython 1.83+)

with bz2.open('sequences.fasta.bz2', 'rt') as handle:
    for record in SeqIO.parse(handle, 'fasta'):
        print(record.id, len(record.seq))

BGZF (Block Gzip) (BioPython 1.83+)

BGZF files can be read like regular gzip, but also support indexing:

for record in SeqIO.parse('sequences.fasta.bgz', 'fasta'):
    print(record.id)

with bgzf.open('sequences.fasta.bgz', 'rt') as handle:
    for record in SeqIO.parse(handle, 'fasta'):
        print(record.id)

Writing Compressed Files

Goal: Save sequence records directly to compressed files without an intermediate uncompressed step.

Approach: Open a compression handle in text mode ('wt'), then pass it to SeqIO.write().

Gzip (.gz)

with gzip.open('output.fasta.gz', 'wt') as handle:
    SeqIO.write(records, handle, 'fasta')

Bzip2 (.bz2)

with bz2.open('output.fasta.bz2', 'wt') as handle:
    SeqIO.write(records, handle, 'fasta')

BGZF (.bgz)

with bgzf.open('output.fasta.bgz', 'wt') as handle:
    SeqIO.write(records, handle, 'fasta')

BGZF: Indexable Compression

Goal: Enable random access to records in compressed sequence files.

Approach: Write sequences in BGZF (Block GZip Format) — the only compressed format supporting SeqIO.index() and SeqIO.index_db(). BGZF is a gzip variant used by BAM and tabix-indexed files.

Create Indexable Compressed File

from Bio import SeqIO, bgzf

records = SeqIO.parse('input.fasta', 'fasta')
with bgzf.open('output.fasta.bgz', 'wt') as handle:
    SeqIO.write(records, handle, 'fasta')

Index a BGZF File

records = SeqIO.index('sequences.fasta.bgz', 'fasta')
seq = records['target_id'].seq
records.close()

records = SeqIO.index_db('index.sqlite', 'sequences.fasta.bgz', 'fasta')

Convert Gzip to BGZF

"Convert gzip to indexable format" → Parse from gzip handle, write through BGZF handle.

from Bio import SeqIO, bgzf
import gzip

with gzip.open('input.fasta.gz', 'rt') as in_handle:
    with bgzf.open('output.fasta.bgz', 'wt') as out_handle:
        SeqIO.write(SeqIO.parse(in_handle, 'fasta'), out_handle, 'fasta')

Code Patterns

Read Gzipped FASTQ

with gzip.open('reads.fastq.gz', 'rt') as handle:
    records = list(SeqIO.parse(handle, 'fastq'))
print(f'Loaded {len(records)} reads')

Count Records in Gzipped File

with gzip.open('sequences.fasta.gz', 'rt') as handle:
    count = sum(1 for _ in SeqIO.parse(handle, 'fasta'))
print(f'{count} sequences')

Fast Count with Low-Level Parser

from Bio.SeqIO.FastaIO import SimpleFastaParser
import gzip

with gzip.open('sequences.fasta.gz', 'rt') as handle:
    count = sum(1 for _ in SimpleFastaParser(handle))

Convert Compressed to Uncompressed

with gzip.open('input.fasta.gz', 'rt') as in_handle:
    records = SeqIO.parse(in_handle, 'fasta')
    SeqIO.write(records, 'output.fasta', 'fasta')

Convert Uncompressed to Compressed

records = SeqIO.parse('input.fasta', 'fasta')
with gzip.open('output.fasta.gz', 'wt') as out_handle:
    SeqIO.write(records, out_handle, 'fasta')

Auto-Detect Compression

from pathlib import Path
from Bio import SeqIO, bgzf
import gzip
import bz2

def open_sequence_file(filepath, format):
    filepath = Path(filepath)
    suffix = filepath.suffix.lower()
    if suffix == '.gz':
        # Could be gzip or bgzf - bgzf handles both
        handle = bgzf.open(filepath, 'rt')
    elif suffix == '.bgz':
        handle = bgzf.open(filepath, 'rt')
    elif suffix == '.bz2':
        handle = bz2.open(filepath, 'rt')
    else:
        handle = open(filepath, 'r')
    return SeqIO.parse(handle, format)

Process Large Gzipped File (Memory Efficient)

with gzip.open('large.fastq.gz', 'rt') as handle:
    for record in SeqIO.parse(handle, 'fastq'):
        if len(record.seq) >= 100:
            process(record)

Compress Existing File (Raw Copy)

import shutil

with open('sequences.fasta', 'rb') as f_in:
    with gzip.open('sequences.fasta.gz', 'wb') as f_out:
        shutil.copyfileobj(f_in, f_out)

Compression Comparison

FormatExtensionIndexableSpeedCompression
Gzip.gzNoFastGood
BGZF.bgzYesFastGood
Bzip2.bz2NoSlowBetter
LZMA.xzNoSlowestBest

When to Use Each Format

Use CaseRecommended Format
Archive (no random access needed)gzip or bzip2
Need to index compressed fileBGZF
BAM files and tabixBGZF (native)
Maximum compressionbzip2 or xz
Best speedgzip or BGZF

Common Errors

ErrorCauseSolution
TypeError: a bytes-like object is requiredUsed 'rb' modeUse 'rt' for text mode
UnicodeDecodeErrorWrong encodingTry gzip.open(file, 'rt', encoding='latin-1')
gzip.BadGzipFileNot a gzip fileCheck file extension matches actual format
OSError: Not a gzipped fileCorrupt or wrong formatVerify file integrity
SeqIO.index() fails on .gzRegular gzip not indexableConvert to BGZF first

Decision Tree

Working with compressed sequence files?
├── Just reading sequentially?
│   └── Use gzip.open() or bz2.open() with 'rt' mode
├── Need to index the compressed file?
│   └── Convert to BGZF, then use SeqIO.index()
├── Writing compressed output?
│   ├── Will need to index later? → Use bgzf.open()
│   └── Just archiving? → Use gzip.open() or bz2.open()
└── Converting between formats?
    └── Parse with SeqIO, write to new handle

Related Skills

  • read-sequences - Core parsing functions used with compressed handles
  • write-sequences - Write to compressed output files
  • batch-processing - Process multiple compressed files
  • alignment-files - BAM files use BGZF natively; samtools handles compression

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.

The English summary is being prepared. Showing the original description.

BioTender-max/awesome-bio-agent-skills204Updated Jul 2, 2026

See all skills by BioTender-max

Report a problem with this skill