Firstly, assume you have already installed UCSCXenaShiny package.
library(UCSCXenaShiny)
#> =========================================================================================
#> UCSCXenaShiny version 1.1.7
#> Project URL: https://github.com/openbiox/UCSCXenaShiny
#> Usages: https://openbiox.github.io/UCSCXenaShiny/
#>
#> If you use it in published research, please cite:
#> Shixiang Wang, Yi Xiong, Longfei Zhao, Kai Gu, Yin Li, Fei Zhao, Jianfeng Li,
#> Mingjie Wang, Haitao Wang, Ziyu Tao, Tao Wu, Yichao Zheng, Xuejun Li, Xue-Song Liu,
#> UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data,
#> Bioinformatics, 2021;, btab561, https://doi.org/10.1093/bioinformatics/btab561.
#> =========================================================================================
#> --Enjoy it--
We provide function to retrieve multi-dimensional data including genomic, epigenomic, transcriptomic, and proteomic data from TCGA (note, this actually contains data from TCGA/TARGET/GTEx databases) and CCLE Pan-Cancer dataset for single identifier (e.g., gene, protein).
Check parameters:
args(query_pancan_value)
#> function (molecule, data_type = c("mRNA", "transcript", "protein",
#> "mutation", "cnv", "cnv_gistic2", "methylation", "miRNA",
#> "fusion", "promoter", "APOBEC"), database = c("toil", "ccle",
#> "pcawg"), reset_id = NULL, ...)
#> NULL
For TCGA gene expression data, we use Xena dataset with ID TcgaTargetGtex_rsem_gene_tpm
which includes 19131 samples with tumor tissue samples and normal tissue samples. The expression value unit is log2(tpm+0.001)
.
Let’s check several examples.
gene_expr <- query_pancan_value("TP53")
#> ==