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Bioconductor Genomicfeatures

Organization
bioMate-AI
bioconductor-genomicfeatures

Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a

Overview

PublisherbioMate-AI
Repositorybiomate-bioconductor-kb
Skill namebioconductor-genomicfeatures
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 Genomicfeatures 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/genomicfeatures
  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/genomicfeatures .claude/skills/bioconductor-genomicfeatures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bioconductor Genomicfeatures 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 Genomicfeatures 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 Genomicfeatures 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.

GenomicFeatures

Dependencies & Environment

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

  • Version: 1.64.0 · Bioconductor: 3.23 · R: ≥ 4.6
  • Depends: BiocGenerics, S4Vectors, IRanges, Seqinfo, GenomicRanges, AnnotationDbi
  • Imports: DBI, XVector, Biostrings, rtracklayer
  • Install: BiocManager::install("GenomicFeatures")

When to Use

  • Extract genomic coordinates for exons, transcripts, or coding sequences as GRanges objects using transcripts, exons, or cds.
  • Group genomic features by gene or transcript into a GRangesList using transcriptsBy or exonsBy.
  • Retrieve actual sequence data by pairing a TxDb with a BSgenome package and using extractTranscriptSeqs.

When NOT to Use

  • For extracting actual sequence data without a BSgenome package (use BSgenome directly instead because GenomicFeatures only stores coordinates).
  • For finding overlaps between alignments and features without first extracting the features (use findOverlaps on the extracted GRangesList instead).

Data Requirements

  • Requires a TxDb object (loaded via loadDb or an annotation package like TxDb.Hsapiens.UCSC.hg19.knownGene).
  • Sequence extraction requires an appropriate BSgenome package (e.g., BSgenome.Hsapiens.UCSC.hg19).

Key Parameters

  • keys (default): A vector of identifiers to look up when using select.
  • columns (default): The columns to retrieve when using select.
  • keytype (default): The type of key being passed to select.
  • filter (default): A list (e.g., tx_chrom, tx_strand) to subset results in transcripts.
  • upstream (default): Number of bases upstream from the transcription start site for promoters.
  • downstream (default): Number of bases downstream from the transcription start site for promoters.
  • by (default): The feature to group by (e.g., "gene", "tx") in transcriptsBy or exonsBy.
  • use.names (default): Logical to retain sequence names in extractTranscriptSeqs.

Best Practices

  • Check active chromosomes using seqlevels before extracting features to limit the data returned.
  • Use select to map between different identifiers (e.g., TXNAME to GENEID) within the TxDb object.
  • Group features into a GRangesList (e.g., using exonsBy) before using findOverlaps to contextualize high-throughput sequencing alignments.

Common Pitfalls

  • Extracting sequences for all transcribed regions instead of just coding regions. Fix: Use cdsBy to subset coding regions before calling extractTranscriptSeqs.
  • Translating non-coding sequences resulting in meaningless translations. Fix: Ensure you extract sequences using cdsBy before passing them to translate.
  • Forgetting which chromosomes are active after filtering. Fix: Use seqlevels0 to reset to the original chromosomes stored in the database.

Alternatives

  • txdbmaker: For making TxDb objects from genomic annotations (UCSC, Ensembl, GFF) rather than querying existing ones.
  • BSgenome: For working directly with full genome sequences rather than transcript-specific metadata.
  • GenomicRanges: For general manipulation of GRanges objects rather than extracting them from a database.

Citations

  • Carlson M, Aboyoun P, Pagès H, Falcon S, Morgan M (2026). "Obtaining and Utilizing TxDb Objects." Bioconductor Vignette.

References

  • Homepage: bioconductor.org/packages/GenomicFeatures
  • Vignette: vignette_0_d47eae8b.txt

Run this on BioMate

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

▶ Open genomicfeatures on BioMate →

Frequently asked questions

What does the Bioconductor Genomicfeatures AI skill do?

Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a

Why use Bioconductor Genomicfeatures on TypingMind?

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

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

Which AI models can use Bioconductor Genomicfeatures?

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 Genomicfeatures?

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

Is the Bioconductor Genomicfeatures 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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