Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data

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.


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install.packages("ondisc")

1.0.0 by Timothy Barry, 9 months ago


https://timothy-barry.github.io/ondisc/


Browse source code at https://github.com/cran/ondisc


Authors: Timothy Barry [aut, cre] , Eugene Katsevich [ths] , Kathryn Roeder [ths]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports readr, methods, magrittr, rhdf5, data.table, Matrix, Rcpp, crayon, dplyr

Suggests testthat, knitr, rmarkdown, covr

Linking to Rcpp, Rhdf5lib

System requirements: GNU make


See at CRAN