工作流程
可扩展性
模块化设计
预处理器
计算机科学
常量(计算机编程)
RNA序列
灵活性(工程)
核糖核酸
分布式计算
计算生物学
数据挖掘
数据库
转录组
操作系统
人工智能
生物
程序设计语言
基因表达
数学
基因
遗传学
统计
作者
Páll Melsted,A. Sina Booeshaghi,Lauren Liu,Fan Gao,Lambda Moses,Kyung Hoi Min,Eduardo da Veiga Beltrame,Kristján Eldjárn Hjörleifsson,Jase Gehring,Lior Pachter
标识
DOI:10.1038/s41587-021-00870-2
摘要
We describe a workflow for preprocessing of single-cell RNA-sequencing data that balances efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is near optimal in speed with a constant memory requirement providing scalability for arbitrarily large datasets. The workflow is modular, and we demonstrate its flexibility by showing how it can be used for RNA velocity analyses.
科研通智能强力驱动
Strongly Powered by AbleSci AI