Python(编程语言)
核心
核糖核酸
计算机科学
生物
细胞生物学
程序设计语言
遗传学
基因
作者
Delaney K. Sullivan,Kyung Hoi Min,Kristján Eldjárn Hjörleifsson,Laura Luebbert,Guillaume Holley,Lambda Moses,Johan Gustafsson,Nicolas Bray,Harold Pimentel,A. Sina Booeshaghi,Páll Melsted,Lior Pachter
标识
DOI:10.1101/2023.11.21.568164
摘要
Abstract The term “RNA-seq” refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, from single cells, or from single nuclei. The kallisto, bustools, and kb-python programs are free, open-source software tools for performing this analysis that together can produce gene expression quantification from raw sequencing reads. The quantifications can be individualized for multiple cells, multiple samples, or both. Additionally, these tools allow gene expression values to be classified as originating from nascent RNA species or mature RNA species, making this workflow amenable to both cell-based and nucleus-based assays. This protocol describes in detail how to use kallisto and bustools in conjunction with a wrapper, kb-python, to preprocess RNA-seq data.
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