[BioC] Course: Learning R / Bioconductor for Sequence Analysis, Seattle, WA Oct 27-29

[Martin Morgan]

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.
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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