Bioconductor Flowcore logo

Bioconductor Flowcore

Organization
bioMate-AI
bioconductor-flowcore

Provides S4 data structures and basic functions to deal with flow cytometry data.

Overview

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

Use it in TypingMind

Enable Bioconductor Flowcore 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 Flowcore 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 Flowcore 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.

flowCore

Dependencies & Environment

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

  • Version: 2.24.0 · Bioconductor: 3.23 · R: ≥ 4.6
  • Imports: Biobase, BiocGenerics, Rcpp, matrixStats, cytolib, S4Vectors
  • System requirements: GNU make, C++17
  • Install: BiocManager::install("flowCore")

When to Use

  • FCS3.0 Standard Parsing: Reading and interpreting Flow Cytometry Data File Standard Version FCS3.0 files.
  • Segment Extraction: Locating and extracting HEADER, TEXT, DATA, and ANALYSIS segments from flow cytometry data sets.
  • Large File Handling: Processing data sets of 100 megabytes and larger where byte offsets exceed standard limits.
  • Compensation Matrix Retrieval: Extracting the fluorescence compensation matrix ($COMP) applied to the data.

When NOT to Use

  • Automated Cell Clustering: For automated cell clustering, use flowMeans instead because flowCore focuses on file standard specifications and data structures.
  • Probability Binning: For generating multivariate probability distribution fingerprints, use flowFP instead because flowCore only handles the raw file segments.

Data Requirements

  • Input Format: FCS3.0 conformant files.
  • Structure: Must contain HEADER, TEXT, and DATA segments.
  • Storage Mode: List mode data storage or histograms.

Key Parameters

  • $BEGINDATA (required): Byte-offset from the beginning of the data set to the beginning of the DATA segment.
  • $DATATYPE (required): Type of data in the DATA segment (ASCII 'A', integer 'I', single precision floating point 'F', or double precision 'D').
  • $BYTEORD (required): Byte order for the data acquisition computer (e.g., 4,3,2,1 or 1,2,3,4).
  • $COMP (optional): Fluorescence compensation matrix elements stored in row-major order.
  • $PnB (required): Number of bits reserved for parameter number n.
  • $PnR (required): Range for parameter number n.

Best Practices

  • Primary TEXT Segment Placement: Ensure the primary TEXT segment is located entirely within the first 99,999,999 bytes of the data set.
  • ANALYSIS Segment Verification: Check the $BEGINANALYSIS and $ENDANALYSIS keywords to determine if an ANALYSIS segment is present, especially if HEADER offsets are zero.
  • Internationalization: Use the $UNICODE keyword to support multi-byte characters for string type keyword values.
  • Data Integrity: Utilize the cyclic redundancy check (CRC) word placed at the end of each FCS3.0 data set to confirm file integrity after network transfers.

Common Pitfalls

  • Large Data Set Offsets: Data sets exceed the 99,999,999 byte limit, causing standard HEADER offsets to fail. Fix: Substitute '0's in the HEADER and place the true byte offsets in the $BEGINDATA and $ENDDATA keyword values in the TEXT segment.
  • Delimiter Collisions: The delimiter character appears within a keyword or keyword value. Fix: Immediately follow the delimiter with a second identical delimiter character to escape it.
  • Missing Zero Values in Free Format ASCII: Free format ASCII data ($DATATYPE/A/ with $PnB/*/) misinterprets consecutive delimiters. Fix: Explicitly specify zero values with the zero (0) character rather than leaving empty space between delimiters.

Alternatives

  • flowMeans: For downstream non-parametric clustering of the extracted flow cytometry data.
  • flowFP: For fingerprinting and probability binning of the extracted flow cytometry data.

Citations

  • Data File Standards Committee of the International Society for Analytical Cytology (ISAC). FCS version 2.0 can be found in Cytometry 1990;11(3):323-32.

References


Run this on BioMate

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

▶ Open flowcore on BioMate →

Frequently asked questions

What does the Bioconductor Flowcore AI skill do?

Provides S4 data structures and basic functions to deal with flow cytometry data.

Why use Bioconductor Flowcore on TypingMind?

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

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

Which AI models can use Bioconductor Flowcore?

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 Flowcore?

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

Is the Bioconductor Flowcore 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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