Data & ReproProtein Structure & DesignFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
BI

bio-tcr-bcr-analysis-immcantation-analysis

Maintainer FreedomIntelligence · Last updated April 1, 2026

Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.

OpenClawNanoClawAnalysisReproductionbio-tcr-bcr-analysis-immcantation-analysis🧬 bioinformatics (gptomics bio-* suite)bioinformatics — immunoinformatics & flow cytometryanalyze

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-tcr-bcr-analysis-immcantation-analysis

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • R: alakazam::plotMutability(), dowser::buildPhylipLineage(), scoper::spectralClones().
  • Analyze B cell repertoire evolution and clonal lineages" → Study somatic hypermutation, build B cell phylogenies, and track affinity maturation using the Immcantation framework for BCR repertoire analysis. R: alakazam::plotMutability(), dowser::buildPhylipLineage(), scoper::spectralClones().
  • Requires Immcantation suite: alakazam 1.3+, shazam 1.2+, scoper 1.3+, dowser 2.0+, tigger 1.1+.
  • db <- readChangeoDb('clones_airr.tsv').

Source Doc

Excerpt From SKILL.md

Load and Format Data

Goal: Import AIRR-formatted repertoire data into the Immcantation framework for downstream analysis.

Approach: Read Change-O/AIRR tab-delimited files into R data frames with required V(D)J annotation columns.

library(alakazam)
library(shazam)
library(dplyr)

## Clonal Clustering

**Goal:** Group B cell sequences into clonal lineages based on junction sequence similarity.

**Approach:** Apply hierarchical clustering on nucleotide distance of junction regions with a threshold-based cutoff.

```r
library(scoper)

## Threshold typically 0.15-0.2 (15-20% nucleotide distance)

db <- hierarchicalClones(
    db,
    threshold = 0.15,
    method = 'nt',
    linkage = 'single'
)

Use cases

  • Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • mixcr-analysis - Generate input clonotype data
  • vdjtools-analysis - Diversity metrics (TCR-focused)
  • phylogenetics/tree-io - General tree concepts

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