Classifying cells with Scasat, a single-cell ATAC-seq analysis tool.

ABSTRACT: ATAC-seq is a recently developed method to identify the areas of open chromatin in a cell. These regions usually correspond to active regulatory elements and their location profile is unique to a given cell type. When done at single-cell resolution, ATAC-seq provides an insight into the cell-to-cell variability that emerges from otherwise identical DNA sequences by identifying the variability in the genomic location of open chromatin sites in each of the cells. This paper presents Scasat (single-cell ATAC-seq analysis tool), a complete pipeline to process scATAC-seq data with simple steps. Scasat treats the data as binary and applies statistical methods that are especially suitable for binary data. The pipeline is developed in a Jupyter notebook environment that holds the executable code a

SUBMITTER: Baker SM 

PROVIDER: S-EPMC6344856 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature