skills/smithery.ai/bio-workflows-cytometry-pipeline

bio-workflows-cytometry-pipeline

Installation
SKILL.md

Version Compatibility

Reference examples tested with: FlowSOM 2.10+, edgeR 4.0+, flowCore 2.14+, ggplot2 3.5+, limma 3.58+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, scikit-learn 1.4+

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures
  • R: packageVersion('<pkg>') then ?function_name to verify parameters

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Flow Cytometry Pipeline

"Process my flow cytometry data from FCS to differential analysis" → Orchestrate compensation, transformation, doublet removal, FlowSOM clustering, phenotype annotation, and diffcyt differential testing across conditions.

Pipeline Overview

Installs
1
First Seen
Mar 23, 2026
bio-workflows-cytometry-pipeline from smithery.ai