Single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) is the state-of-the-art technology for analyzing genome-wide regulatory landscape in single cells. Due to data sparsity and discreteness, analyzing scATAC-seq data is challenging. Existing computational methods cannot accurately reconstruct activities of individual cis-regulatory elements (CREs) in individual cells. We present a new statistical framework, SCATE, that adaptively integrates information from co-activated CREs, similar cells, and publicly available regulome data to substantially increase the accuracy for estimating individual CRE activities in single cell and rare cell subpopulations.
SCATE software can be installed via Github. Users should have R installed on their computer before installing SCATE. R version needs to be at least 3.5.x or higher. R can be downloaded here: http://www.r-project.org/.
For Windows users, Rtools is also required to be installed. Rtools can be downloaded here: (https://cloud.r-project.org/bin/windows/Rtools/). For R version 3.5.x, Rtools35.exe is recommended. Use default settings to perform the installation.
For mac users, if there is any problem with installation problem, please try download and install clang-8.0.0.pkg from the following URL: https://cloud.r-project.org/bin/macosx/tools/clang-8.0.0.pkg
To install the latest version of SCATE package via Github, run following commands in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(c("GenomicAlignments","preprocessCore"))
if (!require("devtools"))
install.packages("devtools")
devtools::install_github("zji90/SCATE")
If there is any problem with the installation process, please make sure you have R version at least 3.5.x and you have installed Rtools (Windows users) or clang (mac users). If the problem still occurs, please contact the author (see below)
Check the following page for PDF version of the user manual: https://github.com/zji90/SCATE/raw/master/inst/doc/SCATE.pdf
Check below link for the R code of the user manual.
https://github.com/zji90/SCATE/blob/master/inst/doc/SCATE.R
Zhicheng Ji, Weiqiang Zhou, Wenpin Hou, Hongkai Ji, Single-cell ATAC-seq Signal Extraction and Enhancement with SCATE, Genome Biol 21, 161 (2020).
Author: Zhicheng Ji, Weiqiang Zhou, Wenpin Hou, Hongkai Ji
Report bugs and provide suggestions by sending email to:
Maintainer: Zhicheng Ji (zji4@jhu.edu), Wenpin Hou (whou10@jhu.edu)
Or open a new issue on this Github page
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.