To launch an Amazon Machine Image (AMI) for this course:
- Create an Amazon Web Services (AWS) Account if you don't already have one.
- Start the instance ami-705b6718; See the documentation for this. Make sure your security group has port 80 accessible.
- Paste the Public DNS name of your instance into a web browser.
- Log in to RStudio with username ubuntu and password bioc .
- Be sure and terminate your instance when you are done using it, in order to avoid excessive charges.
Use R / Bioconductor for Sequence Analysis
Fred Hutchinson Cancer Research Center, Seattle, WA
6-7 April, 2015
Schedule
Day 1 (9:00 - 12:30; 1:30 - 5:00)
- A. Introduction. Bioconductor and sequencing work flows
- B. Genomic Ranges. Working with Genomic Ranges and other Bioconductor data structures (e.g., in the GenomicRanges. package).
- C. Differential Gene Expression. RNA-Seq known gene differential expression with DESeq2 and edgeR.
- D. Machine Learning.
- E. Gene Set Enrichment.
Day 2 (9:00 - 12:30; 1:30 - 5:00)
- F. ChIP-seq ChIP-seq with csaw
- G. Methylation and regulatory work flows with minfi.
- H. Integrative Data Analysis -- emerging approaches
- I. Large Data -- efficient, parallel, and cloud programming with BiocParallel, GenomicFiles, and other resources.