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Bio Compressed Files

OrganizationPopular
FreedomIntelligence
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.

Overview

PublisherFreedomIntelligence
RepositoryOpenClaw-Medical-Skills
Skill namebio-compressed-files
Stars
3.1K
Forks
414
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by FreedomIntelligence on GitHub. Read the source before you install it.

Installation

Install the Bio Compressed Files AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-compressed-files
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git /tmp/OpenClaw-Medical-Skills
mkdir -p .claude/skills
cp -r /tmp/OpenClaw-Medical-Skills/skills/bio-compressed-files .claude/skills/bio-compressed-files
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bio Compressed Files in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bio Compressed Files on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bio Compressed Files is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

python
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+)

python
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+)

python
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:

python
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)

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

Bzip2 (.bz2)

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

BGZF (.bgz)

python
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

python
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

python
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.

python
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

python
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

python
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

python
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

python
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

python
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

python
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)

python
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)

python
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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bio Compressed Files AI skill do?

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.

Why use Bio Compressed Files on TypingMind?

Because you install it once and use it with any model. Bio Compressed Files is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bio Compressed Files in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-compressed-files. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bio Compressed Files?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bio Compressed Files?

As many as you like. As long as a model supports skills, you can use Bio Compressed Files with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bio Compressed Files AI skill free?

It is published on GitHub by FreedomIntelligence. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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