Description

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 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 Wi-Fi enabled laptop with RStudio installed.

Duration

1 sessions (2.5 hours)

Registration

https://bcc2020.github.io/Registration/

More Info

https://bcc2020.sched.com/event/c463/r-bioconductor-in-the-cloud