Jointing analysis of scATAC-seq datasets using epiConv

doi:10.1101/2020.02.13.947242

	Jointing analysis of scATAC-seq datasets using epiConv
	Lin, L.; Zhang, L.
	2021-01-03
状态	已发表
摘要	Technical improvement in ATAC-seq makes it possible to profile the chromatin states of single cells at high throughput, but currently no method is available to integrate datasets from multiple sources (different batches of same protocol or multiple experimental protocols). Here we present an algorithm to perform joint analyses on scATAC-seq datasets from multiple sources. In addition to batch correction, we also demonstrate that epiConv is capable of aligning co-assay data (simultaneous profiling of transcriptome and chromatin) onto high-quality ATAC-seq reference or integrating cells in different biological conditions (malignant vs. normal), which increases the statistical power of downstream analyses and reveals hidden hierarchy of malignant cells.
语种	英语
DOI	10.1101/2020.02.13.947242
相关网址	查看原文
出处	bioRxiv
收录类别	PPRN.PPRN
WOS记录号	PPRN:8802081
WOS类目	Computer Science, Interdisciplinary Applications
资助项目	National Key Research and Development Program of China["2018YFC1004602","NSF 31871332"]
文献类型	预印本
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/348478
专题	生命科学与技术学院生命科学与技术学院_PI研究组_张力烨组生命科学与技术学院_PI研究组_孙建龙组
通讯作者	Lin, L.; Zhang, L.
作者单位	Shanghai Tech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Lin, L.,Zhang, L.. Jointing analysis of scATAC-seq datasets using epiConv. 2021.