染色质
表观遗传学
计算生物学
生物
转录组
RNA序列
单细胞测序
人口
表观遗传学
遗传学
基因
基因表达
DNA甲基化
表型
外显子组测序
医学
环境卫生
作者
Ivan Berest,Andrea Tangherloni
出处
期刊:Methods in molecular biology
日期:2022-12-11
卷期号:: 293-310
被引量:7
标识
DOI:10.1007/978-1-0716-2756-3_15
摘要
Single-cell studies are enabling our understanding of the molecular processes of normal cell development and the onset of several pathologies. For instance, single-cell RNA sequencing (scRNA-Seq) measures the transcriptome-wide gene expression at a single-cell resolution, allowing for studying the heterogeneity among the cells of the same population and revealing complex and rare cell populations. On the other hand, single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-Seq) can be used to define transcriptional and epigenetic changes by analyzing the chromatin accessibility at the single-cell level. However, the integration of multi-omics data still remains one of the most difficult tasks in bioinformatics. In this chapter, we focus on the combination of scRNA-Seq and scATACSeq data to perform an integrative analysis of the single-cell transcriptome and chromatin accessibility of human fetal progenitors.
科研通智能强力驱动
Strongly Powered by AbleSci AI