数据与复现统计与数据分析FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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bio-epidemiological-genomics-transmission-inference

维护者 FreedomIntelligence · 最近更新 2026年4月1日

bio-epidemiological-genomics-transmission-inference:推断 pathogen transmission networks 、 identify likely transmission pairs ,使用 TransPhylo 、 outbreak reconstruction algorithms。 Estimate who-infected-whom ,面向 genomic 、 epidemiological data。 适合在investigating outbreak transmission chains 或 identifying superspreaders时使用。

OpenClawNanoClaw分析处理复现实验bio-epidemiological-genomics-transmission-inference🧬 bioinformatics (gptomics bio-* suite)bioinformatics — epidemiological & causal genomicsinfer

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-epidemiological-genomics-transmission-inference

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • R:TransPhylo::inferTTree() ,用于 Bayesian transmission tree inference。
  • 推断 who infected whom in my outbreak" → Reconstruct transmission networks ,面向 genomic 、 epidemiological data to identify transmission pairs,superspreaders,、 unsampled cases. R:TransPhylo::inferTTree() ,用于 Bayesian transmission tree inference。
  • tree <- read.nexus('dated_tree.nexus')。

原始文档

SKILL.md 摘录

TransPhylo in R

library(TransPhylo)
library(ape)

## Convert to TransPhylo format

ptree <- ptreeFromPhylo(tree, dateLastSample = 2020.5)

## Uses MCMC to sample from posterior distribution

res <- inferTTree(
    ptree,
    mcmcIterations = 100000,
    startNeg = 0.1,      # Initial within-host effective population
    startOff.r = 2,      # Initial R0 estimate
    startOff.p = 0.5,    # Initial sampling probability
    startPi = 0.9,       # Initial probability of being sampled
    dateT = 2020.6       # End of outbreak observation
)

适用场景

  • 适合在investigating outbreak transmission chains 或 identifying superspreaders时使用。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

上游相关技能

  • epidemiological-genomics/phylodynamics - Generate dated trees
  • epidemiological-genomics/pathogen-typing - Identify outbreak clones
  • data-visualization/interactive-visualization - Visualize transmission

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