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kallisto,bustools和kb-python用于量化大量,单细胞和单核RNA-seqq

Delaney K Sullivan^1,2, Kyung Hoi Joseph Min³, Kristján Eldjárn Hjörleifsson⁴

¹Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.

bioRxiv : the preprint server for biology

|December 4, 2023

概括

这项研究详细介绍了使用自由开源软件预处理RNA测序 (RNA-seq) 数据的协议: kallisto,bustools和kb-python. 这些工具可以从各种生物样本的原始测序读数进行准确的基因表达量化.

科学领域:

分子生物学分子生物学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

RNA测序 (RNA-seq) 对于在生物样本中量化RNA物种至关重要.
现有的方法需要高效且易于使用的计算工具来进行数据分析.
区分新生和成熟的RNA对于理解基因调节至关重要.

结论:

这种详细的协议使研究人员能够使用可访问的生物信息学工具有效预处理RNA序列数据.
描述的工作流程增强了在各种实验设计中进行准确基因表达分析的能力.
该软件套件支持高级应用,包括研究单细胞和细胞核中的RNA动态.

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相关概念视频

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...