Ying-Wooi Wan1, Genevera I Allen2, Zhandong Liu3. 1. Computational and Integrative Biomedical Research Center, Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA. 2. Department of Statistics and Electrical & Computer Engineering, Rice University, Houston, TX, USA and Department of Pediatrics-Neurology, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA. 3. Computational and Integrative Biomedical Research Center, Department of Pediatrics-Neurology, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
Abstract
MOTIVATION: Massive amounts of high-throughput genomics data profiled from tumor samples were made publicly available by the Cancer Genome Atlas (TCGA). RESULTS: We have developed an open source software package, TCGA2STAT, to obtain the TCGA data, wrangle it, and pre-process it into a format ready for multivariate and integrated statistical analysis in the R environment. In a user-friendly format with one single function call, our package downloads and fully processes the desired TCGA data to be seamlessly integrated into a computational analysis pipeline. No further technical or biological knowledge is needed to utilize our software, thus making TCGA data easily accessible to data scientists without specific domain knowledge. AVAILABILITY AND IMPLEMENTATION: TCGA2STAT is available from the https://cran.r-project.org/web/packages/TCGA2STAT/index.html SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: zhandong.liu@bcm.edu.
MOTIVATION: Massive amounts of high-throughput genomics data profiled from tumor samples were made publicly available by the Cancer Genome Atlas (TCGA). RESULTS: We have developed an open source software package, TCGA2STAT, to obtain the TCGA data, wrangle it, and pre-process it into a format ready for multivariate and integrated statistical analysis in the R environment. In a user-friendly format with one single function call, our package downloads and fully processes the desired TCGA data to be seamlessly integrated into a computational analysis pipeline. No further technical or biological knowledge is needed to utilize our software, thus making TCGA data easily accessible to data scientists without specific domain knowledge. AVAILABILITY AND IMPLEMENTATION: TCGA2STAT is available from the https://cran.r-project.org/web/packages/TCGA2STAT/index.html SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: zhandong.liu@bcm.edu.
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