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ondisc  

Algorithms and Data Structures for Large Single-Cell Expression Matrices
View on CRAN: Click here


Download and install ondisc package within the R console
Install from CRAN:
install.packages("ondisc")

Install from Github:
library("remotes")
install_github("cran/ondisc")

Install by package version:
library("remotes")
install_version("ondisc", "1.3.5")



Attach the package and use:
library("ondisc")
Maintained by
Timothy Barry
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-05
Latest Update:
Description:
Single-cell datasets are growing in size, posing challenges as well as opportunities for biology researchers. 'ondisc' (short for "on-disk single cell") enables users to easily and efficiently analyze large-scale single-cell data. 'ondisc' makes computing on large-scale single-cell data FUN: Fast, Universal, and iNtuitive.
How to cite:
Timothy Barry (2021). ondisc: Algorithms and Data Structures for Large Single-Cell Expression Matrices. R package version 1.3.5, https://cran.r-project.org/web/packages/ondisc. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 1.0.0 (2021-03-05 10:10)
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Complete documentation for ondisc
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