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.
|Author||Timothy Barry [aut, cre] (<https://orcid.org/0000-0002-4356-627X>), Eugene Katsevich [ths] (<https://orcid.org/0000-0003-0598-2050>), Kathryn Roeder [ths]|
|Maintainer||Timothy Barry <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.