Bioconductor Txdbmaker logo

Bioconductor Txdbmaker

Organization
bioMate-AI
bioconductor-txdbmaker

A set of tools for making TxDb objects from genomic annotations from various sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to download the genomic locations of transcripts, exons, and CDS, for a given assembly, and

Overview

PublisherbioMate-AI
Repositorybiomate-bioconductor-kb
Skill namebioconductor-txdbmaker
Stars
804
Forks
66
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by bioMate-AI on GitHub. Read the source before you install it.

Installation

Install the Bioconductor Txdbmaker 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/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/txdbmaker
  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/bioMate-AI/biomate-bioconductor-kb.git /tmp/biomate-bioconductor-kb
mkdir -p .claude/skills
cp -r /tmp/biomate-bioconductor-kb/skills/genomics/txdbmaker .claude/skills/bioconductor-txdbmaker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bioconductor Txdbmaker 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 Bioconductor Txdbmaker 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 Bioconductor Txdbmaker 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.

txdbmaker

Dependencies & Environment

Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.

  • Version: 1.8.0 · Bioconductor: 3.23 · R: ≥ 4.6
  • Depends: BiocGenerics, S4Vectors, Seqinfo, GenomicRanges, GenomicFeatures
  • Imports: httr, rjson, DBI, RSQLite, IRanges, UCSC.utils, GenomeInfoDb, AnnotationDbi, Biobase, BiocIO, rtracklayer, biomaRt
  • Install: BiocManager::install("txdbmaker")

When to Use

  • Creating TxDb objects from UCSC Genome Browser transcript tables using makeTxDbFromUCSC.
  • Retrieving and assembling transcript annotations from BioMart datasets using makeTxDbFromBiomart.
  • Extracting transcript information directly from GFF3 or GTF files using makeTxDbFromGFF.
  • Saving and loading created TxDb objects to/from SQLite database files using saveDb and loadDb to avoid repeated download times.
  • Wrapping a generated database directly into an installable annotation package using makeTxDbPackageFromUCSC or makeTxDbPackageFromBiomart.

When NOT to Use

  • For extracting features (like transcripts, exons, and CDS) from an already created TxDb object, use GenomicFeatures instead, which implements the flexible extraction methods.
  • For creating TxDb objects from unsupported BioMart datasets (not all BioMart datasets are currently supported by makeTxDbFromBiomart).

Data Requirements

  • UCSC: A valid genome build (e.g., "mm9", "hg19") and a supported transcript table (e.g., "knownGene", "refGene").
  • BioMart: A supported BioMart dataset name (e.g., "mmusculus_gene_ensembl").
  • Files: Local GFF3 or GTF files containing transcript annotations.

Key Parameters

  • genome (default): Specifies the genome build (e.g., "mm9") when downloading tables from UCSC.
  • tablename (default): Specifies the specific UCSC transcript table to download (e.g., "knownGene").
  • dataset (default): Specifies the BioMart dataset to retrieve (e.g., "mmusculus_gene_ensembl").
  • circ_seqs (default): A vector specifying which sequences are circular; defaults to the contents of DEFAULT_CIRC_SEQS.
  • file (default): The file path used to save or load the SQLite database in saveDb and loadDb.

Best Practices

  • Use the supportedUCSCtables utility function to get a list of tables known to work with makeTxDbFromUCSC for your specific genome build.
  • Save your annotation objects using saveDb and label them with an appropriate time stamp to facilitate reproducible research and avoid bandwidth costs.
  • Use the helper function getChromInfoFromBiomart to check what the different chromosomes are called for a given BioMart source before building the TxDb.

Common Pitfalls

  • Re-downloading and assembling databases from UCSC or BioMart every time a script is run. Fix: Use saveDb to save the object locally and loadDb to initialize it from the .sqlite file in future sessions.
  • Attempting to serialize a TxDb object using R's base save function. Fix: Use saveDb instead, because TxDb objects are backed by a SQLite database and cannot be serialized normally.

Alternatives

  • GenomicFeatures: The companion package where TxDb objects are actually implemented and which provides the methods to extract features from them.
  • AnnotationDbi: For querying standard Bioconductor annotation packages (e.g., OrgDb) rather than building transcript-centric databases.

Citations

  • Marc Carlson, Patrick Aboyoun, Hervé Pagès, Seth Falcon and Martin Morgan. Making TxDb Objects. Package txdbmaker.

References

  • Homepage: bioconductor.org/packages/txdbmaker
  • Vignette: vignette_0_4310e349.txt

Run this on BioMate

This skill is the knowledge layer — when, why, and how to use txdbmaker. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.

▶ Open txdbmaker on BioMate →

Frequently asked questions

What does the Bioconductor Txdbmaker AI skill do?

A set of tools for making TxDb objects from genomic annotations from various sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to download the genomic locations of transcripts, exons, and CDS, for a given assembly, and

Why use Bioconductor Txdbmaker on TypingMind?

Because you install it once and use it with any model. Bioconductor Txdbmaker 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 Bioconductor Txdbmaker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/genomics/txdbmaker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bioconductor Txdbmaker?

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 Bioconductor Txdbmaker?

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

Is the Bioconductor Txdbmaker AI skill free?

It is published on GitHub by bioMate-AI. 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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