Bringing interactivity to a staple graphical display in the genomics space, how one team is taking the box approach to sharing and developing modular R code, and a set of intriguing benchmarks with the newly-releaed duckplyr that have your hosts thinking of many possibilities.
Episode Links
- This week's curator: Jon Carroll - @[email protected] (Mastodon) & @carroll_jono (X/Twitter)
- Interactive volcano plots with the ggiraph R package
- Modular R code for analytical projects with {box}
- Kicking tyres
- Entire issue available at rweekly.org/2024-W17
Supplement Resources
- How to interpret a volcano plot https://biostatsquid.com/volcano-plot/
- Source code behind Tim's {duckplyr} and {data.table} benchmarks https://git.sr.ht/~tim-taylor/duckplyr-benchmarks
- Attach to a DuckDB Database over HTTPS or S3 https://duckdb.org/docs/guides/networkcloudstorage/duckdboverhttpsors3
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Music credits powered by OCRemix
- Snow Cone Heaven - Ice Climber - Mazedude - https://ocremix.org/remix/OCR01176
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