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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 |
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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 <tbarry2@andrew.cmu.edu> |
License | MIT + file LICENSE |
Version | 1.0.0 |
URL | https://timothy-barry.github.io/ondisc/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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