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ondisc
: large-scale computing on single-cell data Single-cell datasets are growing in size, posing challenges as well as
opportunities to biology researchers. ondisc
(short for “on-disk
single cell”) is an R package that enables users to easily and
efficiently analyze large-scale single-cell data. ondisc
makes
computing on large-scale single-cell data FUN:
ondisc
is powered by several novel, highly efficient
algorithms and data structures. All low-level code is written in C++
or C for maximum performance.ondisc
runs on all platforms, from laptops to
supercomputers. ondisc
works seamlessly when the size of the data
exceeds the amount of available memory.ondisc
leverages ideas from functional programming,
making it simple for R users users to pick up and incorporate into
their programs.Take a look at the tutorials on the package website.
You can install the development version from GitHub with:
install.packages("devtools")
devtools::install_github("timothy-barry/ondisc")
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