The TCGAbiolinks package is an R/Bioconductor tool designed for the integrative analysis of TCGA data. It addresses challenges in retrieving, integrating, and analyzing TCGA data, including clinical and molecular data types such as DNA methylation, RNA expression, and copy number variations. The package provides a guided workflow for users to query, download, and perform integrative analyses of TCGA data. It combines methods from computer science and statistics, incorporating methodologies from previous TCGA marker studies and the authors' own research. The package is freely available within the Bioconductor project and is designed to facilitate reproducible research, enabling users to integrate data from multiple sources and perform advanced analyses. The TCGAbiolinks package includes functions for data retrieval, preprocessing, analysis, and visualization. It supports the integration of different data types, such as DNA methylation and gene expression, and provides tools for downstream analysis, including differential expression analysis, enrichment analysis, and survival analysis. The package also allows users to generate visualizations such as heatmaps, survival plots, and starburst plots. It is compatible with other Bioconductor packages, enabling the integration of data with existing statistical and bioinformatics tools. The package has been tested using four different TCGA tumor types (Breast, Brain, Kidney, and Colon) to demonstrate its utility in integrative analysis. Case studies illustrate the package's ability to reproduce previous TCGA marker studies, identify differentially expressed genes, and integrate data with other Bioconductor packages. The TCGAbiolinks package is an important resource for researchers working with TCGA data, providing a comprehensive set of tools for data analysis and integration. It is freely available and can be used to advance research in cancer genomics and epigenomics.The TCGAbiolinks package is an R/Bioconductor tool designed for the integrative analysis of TCGA data. It addresses challenges in retrieving, integrating, and analyzing TCGA data, including clinical and molecular data types such as DNA methylation, RNA expression, and copy number variations. The package provides a guided workflow for users to query, download, and perform integrative analyses of TCGA data. It combines methods from computer science and statistics, incorporating methodologies from previous TCGA marker studies and the authors' own research. The package is freely available within the Bioconductor project and is designed to facilitate reproducible research, enabling users to integrate data from multiple sources and perform advanced analyses. The TCGAbiolinks package includes functions for data retrieval, preprocessing, analysis, and visualization. It supports the integration of different data types, such as DNA methylation and gene expression, and provides tools for downstream analysis, including differential expression analysis, enrichment analysis, and survival analysis. The package also allows users to generate visualizations such as heatmaps, survival plots, and starburst plots. It is compatible with other Bioconductor packages, enabling the integration of data with existing statistical and bioinformatics tools. The package has been tested using four different TCGA tumor types (Breast, Brain, Kidney, and Colon) to demonstrate its utility in integrative analysis. Case studies illustrate the package's ability to reproduce previous TCGA marker studies, identify differentially expressed genes, and integrate data with other Bioconductor packages. The TCGAbiolinks package is an important resource for researchers working with TCGA data, providing a comprehensive set of tools for data analysis and integration. It is freely available and can be used to advance research in cancer genomics and epigenomics.