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.
computing on large-scale single-cell data FUN:
ondiscis powered by several novel, highly efficient algorithms and data structures. All low-level code is written in C++ or C for maximum performance.
ondiscruns on all platforms, from laptops to supercomputers.
ondiscworks seamlessly when the size of the data exceeds the amount of available memory.
ondiscleverages ideas from functional programming, making it simple for R users users to pick up and incorporate into their programs.
You can install the development version from GitHub with:
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