TY - JOUR
T1 - kallisto, bustools and kb-python for quantifying bulk, single-cell and single-nucleus RNA-seq
AU - Sullivan, Delaney K.
AU - Min, Kyung Hoi
AU - Hjörleifsson, Kristján Eldjárn
AU - Luebbert, Laura
AU - Holley, Guillaume
AU - Moses, Lambda
AU - Gustafsson, Johan
AU - Bray, Nicolas L.
AU - Pimentel, Harold
AU - Booeshaghi, A. Sina
AU - Melsted, Páll
AU - Pachter, Lior
N1 - Publisher Copyright: © Springer Nature Limited 2024.
PY - 2024/10/10
Y1 - 2024/10/10
N2 - The term ‘RNA-seq’ refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, single cells or 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. Execution of this protocol requires basic familiarity with a command line environment. With this protocol, quantification of a moderately sized RNA-seq dataset can be completed within minutes.
AB - The term ‘RNA-seq’ refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, single cells or 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. Execution of this protocol requires basic familiarity with a command line environment. With this protocol, quantification of a moderately sized RNA-seq dataset can be completed within minutes.
UR - https://www.scopus.com/pages/publications/85206633156
U2 - 10.1038/s41596-024-01057-0
DO - 10.1038/s41596-024-01057-0
M3 - Article
C2 - 39390263
SN - 1754-2189
JO - Nature Protocols
JF - Nature Protocols
ER -