TIFF (Tissue Differences) is a web application for the analysis of differences between two sets of tissues in terms of differential gene or protein expression, DNA copy number or DNA mutations, mutational burden, microsatellite instability, survival as well as serveral derived data like immune cell enrichment, metabolomics, activation of signaling pathways, number of clones or gene signatures.
TIFF is also capable to perform unsupervised analysis as descriptive statistics and dimension reduction plots of gene expression data.
The core functionality of TIFF is also available for R-programmers. A set of data retrieval, processing, and visualization functions enables access to functionalities, which are usually only available for bioinformatics experts.
Start an R session in RStudio and run the following code:
library(TIFF)
library(XIFF)
library(tidyverse)
setDbOptions(getSettings())
tissue_anno <- getTissueAnnotation()
ggplot(tissue_anno, aes(x = tissuepanel, fill = tissuepanel)) +
geom_bar() + theme(legend.position = "none")
This plot gives you an overview on the number of tumor tissues, normal tissues and PDX models.
TIFF::run()