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Bio Compressed Files Agent Skill

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.

3k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
132
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill bio-compressed-files

What comes with it

2 730 bytes besides the instruction
examples/compressed_io.py
usage-guide.md

The instruction itself

29 sections, as written by the author

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

| Format | Extension | Indexable | Speed | Compression |

|--------|-----------|-----------|-------|-------------|

| Gzip | .gz | No | Fast | Good |

| BGZF | .bgz | Yes | Fast | Good |

| Bzip2 | .bz2 | No | Slow | Better |

| LZMA | .xz | No | Slowest | Best |

When to Use Each Format

| Use Case | Recommended Format |

|----------|-------------------|

| Archive (no random access needed) | gzip or bzip2 |

| Need to index compressed file | BGZF |

| BAM files and tabix | BGZF (native) |

| Maximum compression | bzip2 or xz |

| Best speed | gzip or BGZF |

Common Errors

| Error | Cause | Solution |

|-------|-------|----------|

| TypeError: a bytes-like object is required | Used 'rb' mode | Use 'rt' for text mode |

| UnicodeDecodeError | Wrong encoding | Try gzip.open(file, 'rt', encoding='latin-1') |

| gzip.BadGzipFile | Not a gzip file | Check file extension matches actual format |

| OSError: Not a gzipped file | Corrupt or wrong format | Verify file integrity |

| SeqIO.index() fails on .gz | Regular gzip not indexable | Convert 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
  • 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

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How to use it

Copy the folder

Take biotender-max/bio-compressed-files from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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