→ Tutorial, AnVIL, Video
Bioconductor provides more than 1800 R packages for the analysis and comprehension of high-throughput genomic data. Most users install and run Bioconductor on a personal computer or perhaps use an academic cluster. Cloud-based solutions are increasing appealing, removing the headaches of local installation while providing access to (a) better, scalable computing resources; and (b) large-scale 'consortium' and other reference data sets. This session introduces the
AnVIL cloud computing environment. We cover use of the cloud as
- a replacement to desktop-style computing;
- integrating workflows for 'upstream' processing of large data resources with interactive 'downstream' analysis and comprehension, using Human Cell Atlas single-cell datasets as an example; and
- querying cloud-based consortium data for integration with a users' own data sets.
Prerequisites- Participants should be comfortable working with R and RStudio.
- Some familiarity with Bioconductor is helpful but not required.
- No prior cloud-based experience is necessary.
- A wifi enabled laptop with RStudio installed.
