【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
对空六课2 小时前
动态按钮ID变化时的稳定埋点标识设计
前端·数据分析
benchmark_cc2 小时前
批量行情返回后,怎样把请求失败的股票和正常数据分开?
python·数据分析·pandas·量化交易·股票数据·quantdash
小师兄吃牛肉3 小时前
什么是R语言?如何快速学习R语言
开发语言·学习·r语言
龙亘川3 小时前
数智赋能文化服务:构建全域一体化智慧文旅新范式
大数据·人工智能·智慧城市·数据可视化
cc5725026533 小时前
2027 届秋招|统计与数学类专业,公共政策研究、产业研究岗求职材料搭建思路
数据分析
2601_962885725 小时前
如何用 Python 分析股票的日历效应?(星期效应与月份效应,附数据挖掘陷阱)
开发语言·python·数据挖掘
IT毕设梦工厂6 小时前
计算机毕业设计选题推荐:基于大数据的气象站地面观测数据分析与可视化|毕业设计选题|计算机毕设|选题推荐|毕设指导|项目定制|源码|高质量项目
大数据·hadoop·信息可视化·数据挖掘·数据分析·课程设计·大数据毕设项目
databook14 小时前
使用 SciPy 库进行时间序列分析
python·数据分析·scipy
wang_yb14 小时前
使用 SciPy 库进行时间序列分析
数据分析·databook
对空六课15 小时前
支持注意力分析的热力图工具有哪些?
前端·数据库·数据分析