Description
Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data.
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.
README.md
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:
- Fast:
ondiscis powered by several novel, highly efficient algorithms and data structures. All low-level code is written in C++ or C for maximum performance. - Universal:
ondiscruns on all platforms, from laptops to supercomputers.ondiscworks seamlessly when the size of the data exceeds the amount of available memory. - Ntuitive:
ondiscleverages 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.
Installation
You can install the development version from GitHub with:
install.packages("devtools")
devtools::install_github("timothy-barry/ondisc")