Course: Learning R / Bioconductor for Sequence Analysis
Dates: October 27-29, Seattle, WA.
Registration: https://register.bioconductor.org/Seattle-Oct-2014/
This course is directed at beginning and intermediate users who would like an
introduction to the analysis and comprehension of high-throughput sequence data
using R and Bioconductor. Day 1 focuses on learning essential background: an
introduction to the R programming language; central concepts for effective use
of Bioconductor software; and an overview of high-throughput sequence analysis
work flows. Day 2 emphasizes use of Bioconductor for specific tasks: an RNA-seq
differential expression work flow; exploratory, machine learning, and other
statistical tasks; gene set enrichment; and annotation. Day 3 transitions to
understanding effective approaches for managing larger challenges: strategies
for working with large data, writing re-usable functions, developing
reproducible reports and work flows, and visualizing results. The course
combines lectures with extensive hands-on practicals; students are required to
bring a laptop with wireless internet access and a modern version of the Chrome
or Safari web browser.
--
Computational Biology / Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N.
PO Box 19024 Seattle, WA 98109
Location: Arnold Building M1 B861
Phone: (206) 667-2793
_______________________________________________
Bioc-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/bioc-devel
