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Genetics

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跟着Nature Genetics学作图:R语言ggpairs散点图一次性展示很多个主成分

论文PlasmaproteomeanalysesinindividualsofEuropeanandAfricanancestryidentifycis-pQTLsandmodelsforproteome-wideassociationstudieshttps://www.nature.com/articles/s41588-022-01051-w本地pdfs41588-022-01051-w.pdf代码链接https://zenodo.org/record/6332981#.YroV0nZBzichttps://github.com/Jingning-Zhang/PlasmaProtein/

跟着Nature Genetics学作图:R语言ggplot2散点图突出强调其中某些点

论文PlasmaproteomeanalysesinindividualsofEuropeanandAfricanancestryidentifycis-pQTLsandmodelsforproteome-wideassociationstudieshttps://www.nature.com/articles/s41588-022-01051-w本地pdfs41588-022-01051-w.pdf代码链接https://zenodo.org/record/6332981#.YroV0nZBzichttps://github.com/Jingning-Zhang/PlasmaProtein/

跟着Nature Genetics学作图:R语言ggplot2散点图及多图共享图例

论文PlasmaproteomeanalysesinindividualsofEuropeanandAfricanancestryidentifycis-pQTLsandmodelsforproteome-wideassociationstudieshttps://www.nature.com/articles/s41588-022-01051-w本地pdfs41588-022-01051-w.pdf代码链接https://zenodo.org/record/6332981#.YroV0nZBzichttps://github.com/Jingning-Zhang/PlasmaProtein/

跟着Nature Genetics学作图:使用ggarrange包对ggplot2的多个图进行组合

论文PlasmaproteomeanalysesinindividualsofEuropeanandAfricanancestryidentifycis-pQTLsandmodelsforproteome-wideassociationstudieshttps://www.nature.com/articles/s41588-022-01051-w本地pdfs41588-022-01051-w.pdf代码链接https://zenodo.org/record/6332981#.YroV0nZBzichttps://github.com/Jingning-Zhang/PlasmaProtein/

跟着Nature Genetics学作图:R语言ggplot2普通箱线图/分组箱线图/分面箱线图

论文PlasmaproteomeanalysesinindividualsofEuropeanandAfricanancestryidentifycis-pQTLsandmodelsforproteome-wideassociationstudieshttps://www.nature.com/articles/s41588-022-01051-w本地pdfs41588-022-01051-w.pdf代码链接https://zenodo.org/record/6332981#.YroV0nZBzichttps://github.com/Jingning-Zhang/PlasmaProtein/

跟着Genes|Genomes|Genetics学数据分析:R语言edgeR包做转录组差异表达分析

论文Sex-SpecificCo-expressionNetworksandSex-BiasedGeneExpressionintheSalmonidBrookCharrSalvelinusfontinalis数据代码公开https://github.com/bensutherland/sfon_wgcna还有wgcna的代码,论文里对方法和结果部分介绍的还挺详细,可以对照着论文然后学习WGCNA的代码今天的推文先学习差异表达分析的代码论文中提供的原始count文件有100多个样本,数据量有点大。这里我只选择其中的20个样本。读取表达量文件library(readr)my.counts对数据进