SIGHTS is a suite of normalization methods, statistical tests, and diagnostic graphical tools for high throughput screening (HTS) assays. HTS assays use microtitre plates to screen large libraries of compounds for their biological, chemical, or biochemical activity.
Identifying rare biological events in high-throughput screens requires using the best available normalization and statistical inference procedures. It is not always clear, however, which algorithms are best suited for a particular screen. The Statistics and dIagnostics Graphs for High Throughput Screening (SIGHTS) R package is designed for statistical analysis and visualization of HTS assays. It provides graphical diagnostic tools to guide researchers in choosing the most appropriate normalization algorithm and statistical test for identifying active constructs.
Run in R :
- Bioconductor (try http:// if https:// URLs are not supported)
source("https://bioconductor.org/biocLite.R")
biocLite("sights")
library(sights)
- GitHub
install.packages("devtools")
library(devtools)
install_github("eg-r/sights")
library(sights)
Run in R: citation("sights")