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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.
Getting started
Browse package contents
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 |
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