The article introduces GOplot, an R package designed to enhance the visualization of omics data by combining expression data with functional analysis results. Developed by Wencke Walter, Fátima Sánchez-Cabo, and Mercedes Ricote, GOplot is built on ggplot2 and offers a range of plot types, including bar plots, bubble plots, circle plots, chord plots, and cluster plots. These plots allow users to explore data from a general overview to detailed views, integrating molecular expression levels with functional annotations. The package aims to improve the understanding and communication of biologically relevant findings in publications. GOplot is available on CRAN and includes a detailed manual and sample figures. The authors provide examples and demonstrate how to use the package to generate insightful plots with minimal code.The article introduces GOplot, an R package designed to enhance the visualization of omics data by combining expression data with functional analysis results. Developed by Wencke Walter, Fátima Sánchez-Cabo, and Mercedes Ricote, GOplot is built on ggplot2 and offers a range of plot types, including bar plots, bubble plots, circle plots, chord plots, and cluster plots. These plots allow users to explore data from a general overview to detailed views, integrating molecular expression levels with functional annotations. The package aims to improve the understanding and communication of biologically relevant findings in publications. GOplot is available on CRAN and includes a detailed manual and sample figures. The authors provide examples and demonstrate how to use the package to generate insightful plots with minimal code.