RNA剪接
生物
计算生物学
选择性拼接
基因
核糖核酸
RNA序列
基因表达
内含子
DNA测序
遗传学
生物信息学
转录组
外显子
作者
Wen Wang,Adam J. Mead,Supat Thongjuea
摘要
Alternative splicing is an important source of heterogeneity underlying gene expression between individual cells but remains an understudied area due to the paucity of computational tools to analyze splicing dynamics at single-cell resolution. Here, we present MARVEL, a comprehensive R package for single-cell splicing analysis applicable to RNA sequencing generated from the plate- and droplet-based methods. We performed extensive benchmarking of MARVEL against available tools and demonstrated its utility by analyzing multiple publicly available datasets in diverse cell types, including in disease. MARVEL enables systematic and integrated splicing and gene expression analysis of single cells to characterize the splicing landscape and reveal biological insights.
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