NHGRI Analysis Visualization and Informatics Lab-space

Events

Bioconductor

Using R / Bioconductor in AnVIL

Popup Workshop
Monday, April 26, 2021 12:00 PM to 1:00 PM EDT

Bioconductor popup workshops provide short (less than 1 hour) virtual sessions to highlight specific parts of the Terra / AnVIL ecosystem for R and Bioconductor users.

The sessions are easy for participants to join and follow along, with minimal prerequisite skills or knowledge; it is not necessary to attend all workshops.

Sessions will have short presentations, with abundant opportunity for questions and ‘round table’ discussion about the topic of the workshop or other AnVIL-related activities.

The main goal is to engage and enable the use of AnVIL / Terra by R users. All sessions will be recorded and available after the workshop. Each workshop will include a short one-page summary of key learning objectives.

Tutorials and Videos

For a tutorial based on the workshop with an accompanying tutorial see Using R / Bioconductor in AnVIL.

To Register

Please SIGN UP to receive connection information for each workshop.

Schedule

All workshops are offered on Mondays at lunchtime, 12:00 - 1:00 US Eastern, starting April 26.

DateTopic
April 26Using R / Bioconductor in AnVIL (Martin Morgan) [recorded session]

Other Sessions

DateTopic
May 3The R / Bioconductor AnVIL package for easy access to buckets, data, and workflows, and fast package installation (Martin Morgan, Nitesh Turaga)
May 10Running a workflow: Bulk RNASeq differential expression from FASTQ files to top table (Martin Morgan, Kayla Interdonato)
May 17Single-cell RNASeq with 'Orchestrating Single Cell Analysis' in R / Bioconductor (Vince Carey)
May 24Using AnVIL for teaching R / Bioconductor (Levi Waldron)
May 31Reproducible research with AnVILPublish (Martin Morgan)
June 7Managing costs with AnVILBilling (Vince Carey)
June 14Participant stories (everyone!)
The R / Bioconductor AnVIL Package for Easy Access to Buckets, Data, and Workflows, and Fast Package InstallationTools for Applied Data Science Using Cloud-Based Platforms
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