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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* Clarified certain aspects of the protocol (when and how to use certain parameters and how to store and load anndata objects in python).

Details

Title
kallisto, bustools, and kb-python for quantifying bulk, single-cell, and single-nucleus RNA-seq
Author
Sullivan, Delaney K; Kyung Hoi (Joseph) Min; Hjörleifsson, Kristján Eldjárn; Luebbert, Laura; Holley, Guillaume; Moses, Lambda; Gustafsson, Johan; Bray, Nicolas L; Pimentel, Harold; A Sina Booeshaghi; Melsted, Páll; Pachter, Lior
University/institution
Cold Spring Harbor Laboratory Press
Section
Confirmatory Results
Publication year
2024
Publication date
Jan 23, 2024
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2892415001
Copyright
© 2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.