DrSeq2: a quality control and analysis pipeline for parallel single cell transcriptome and epigenome data
Chengchen Zhao, Sheng’en Hu, Xiao Huo, Yong Zhang School of Life Science and Technology, Tongji University, Shanghai 20092, China
An increasing number of single cell transcriptome and epigenome technologies, including single cell ATAC-seq (scATAC-seq), have been recently developed as powerful tools to analyze the features of many individual cells simultaneously. However, the methods and software were designed for one certain data type and only for single cell transcriptome data. A systematic approach for epigenome data and multiple types of transcriptome data is needed to control data quality and to perform cell-to-cell heterogeneity analysis on these ultra-high-dimensional transcriptome and epigenome datasets. Here we developed DrSeq2, a Quality Control (QC) and analysis pipeline for multiple types of single cell transcriptome and epigenome data, including scATAC-seq and Drop-ChIP data. Application of this pipeline provides four groups of QC measurements and different analyses, including cell heterogeneity analysis. DrSeq2 produced reliable results on published single cell transcriptome and epigenome datasets. Overall, DrSeq2 is a systematic and comprehensive QC and analysis pipeline designed for parallel single cell transcriptome and epigenome data. DrSeq2 is freely available.
Credits: None available.
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