【工具】grcMalaria用于处理和分析“斑点疟疾基因报告卡”的R软件包

文章目录

介绍

grcMalaria 是一个易于使用的、开源的 R 软件包,旨在使遗传流行病学分析任务变得易于操作。

该软件包能够将来自"SpotMalaria 遗传报告卡"(GRC)中提取的疟原虫遗传信息转化为直观的流行率、多样性、亲缘关系等地理图谱。该软件库还能够识别流行毒株、分析药物耐药性特征以及绘制传播路径。

grcMalaria is a user-friendly, open-source R package, designed to make genetic epidemiology analysis tasks accessible.
The package facilitates the translation of genetic information derived from malaria parasites from SpotMalaria Genetic Report Cards (GRC) into intuitive geographical maps of prevalence, diversity, relatedness. This software library is also capable of identifying circulating strains, characterising drug resistance profiles, and mapping spread.

代码

https://genremekong.org/tools/grcmalaria-guide

r 复制代码
## Install devtools and rgeos
install.packages("devtools")
install.packages("rgeos")

##Install grcMalariaGeodata from Github
devtools::install_github("malariagen/grcMalariaGeodata")

## Require these dependencies to install 'malariagen/grcMalaria'
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")

BiocManager::install("pcaMethods")

# Load libraries
library(grcMalariaGeodata)
library(grcMalaria)

# Check package versions grcMalaria and grcMalariaGeodata
# Latest version grcMalariaGeodata: 0.4.0
# Latest stable version of grcMalaria: 2.0.0
packageVersion('grcMalaria')
packageVersion('grcMalariaGeodata')


# Load data file
# Change the path to where your file is located before running the code
Data <- loadGrc("D:/.../GRC.xlsx", 
    sheet = "GenRe-Mekong", 
    species = "Pf", version = "1.4")

ctx <- initializeContext(Data, 
                          dir="D:/...", #Change the path to where you want output file to be 
															 minSnpTypability=0.8, minSampleTypability=0.75) 


## Select sample set to work on. 

# To select samples from 1 field (1 column in the GRC)
selectSampleSet(ctx, sampleSetName="EBKK", select=list(
								list(field="Country", values=c("VN", "KH", "LA")) ))

# To select samples from 2 fields
selectSampleSet(ctx, sampleSetName="Laos", select=list(
								list(field="TimePoint", values=c("D00H00","-")),
								list(field="Study", values=c("1208-PF-LA-CMPE-GENRE")) ))

# To select samples from 3 fields
selectSampleSet(ctx, sampleSetName="SouthLA_2017", select=list(
                 list(field="Country", values="LA"),
                 list(field="AdmDiv1", values=c("Attapeu", "Champasak")),
								 list(field="Year", values=c("2017", "2018")) ))

# To select samples from more fields, follow the example above to add more -> list(field=" ", values = " ")


mapSampleCounts (ctx, sampleSet="EBKK", timePeriods=NULL,
                   aggregate=c("Province","District"), 
                   minAggregateCount=1, 
                   markerSize=c(10,40), 
                   colourBy="Province", 
                   showNames=TRUE,
                   ...)
r 复制代码
mapDrugResistancePrevalence (ctx, sampleSet="EBKK", timePeriods=NULL,
                   drugs="ALL", aggregate=c("Province","District"),
                   minAggregateCount=10, showNames=TRUE, markerSize=16,
                   ...)

参考

相关推荐
quantdash_cc2 小时前
ETF 行情数据清洗实战:字段语义拆解、标的池整理与五个校验清单
python·数据分析·pandas·量化交易·股票数据·quantdash
Leo.yuan6 小时前
2026年可信AI数据分析平台研究:主流厂商的可信机制、能力边界与企业选型
人工智能·数据挖掘·数据分析
程序员清风6 小时前
让 AI 编写与运行测试:从样例通过到回归验证
人工智能·数据挖掘·回归
D e re k ZH7 小时前
保序回归:从 PAVA 到可并堆的单调约束优化
c++·算法·数据挖掘·回归·kotlin
Highcharts.js7 小时前
CSUN 2026|Highcharts无障碍数据与AI分享
javascript·人工智能·数据分析·highcharts·图表开发
听风吹等浪起8 小时前
第27章:EfficientNet全家桶|钢材表面6类缺陷分类完整Pytorch实现
pytorch·分类·数据挖掘
梯度下降者19 小时前
零基础入门Python 爬虫
爬虫·python·数据分析·入门指南·webcrawler
2分钟速写快排20 小时前
ggg! 潜行摸鱼被 Trae 爆改成 3D!
人工智能·程序员·数据可视化
benchmark_cc21 小时前
用 Python 拉 A 股全市场实时快照:Notebook 请求、结果校验与易错点
python·数据分析·pandas·量化交易·股票数据·quantdash
SelectDB1 天前
Doris Arrow Flight SQL 高速读取协议实战:与 Snowflake 客户端取数链路对照
大数据·数据库·数据分析