ondisc: 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.

Package details

AuthorTimothy Barry [aut, cre] (<https://orcid.org/0000-0002-4356-627X>), Eugene Katsevich [ths] (<https://orcid.org/0000-0003-0598-2050>), Kathryn Roeder [ths]
MaintainerTimothy Barry <tbarry2@andrew.cmu.edu>
LicenseMIT + file LICENSE
URL https://timothy-barry.github.io/ondisc/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ondisc package in your browser

Any scripts or data that you put into this service are public.

ondisc documentation built on March 5, 2021, 5:07 p.m.