2011-08-16 ~ 2011-08-16 This tutorial introduces R users to the
Bioconductor project, a collection of more than 400 packages for
the analysis and comprehension of high-throughput genetic data.
The tutorial highlights flexible facilities for the analysis of
DNA sequence data. To prepare for this workshop, please install
R version 2.13.1. Exercises require additional packages. Install
these by starting an R session and entering (e.g., cut-and-paste
from below) source("http://bioconductor.org/biocLite.R")
biocLite(c("GenomicFeatures", "ShortRead", "edgeR",
"org.Dm.eg.db", "BSgenome.Dmelanogaster.UCSC.dm3")) The workshop
uses moderately sized data; your laptop (Mac, Windows, or Linux)
should have 2 Gb or more of memory and ample disk space. If
using Linux or MacOS, download the Source package and install
with install.packages("useR2011_0.1.0.tar.gz", repos=NULL,
type="source") On windows, download the Windows package and
install with In either case, the first argument should be the
path to the file that you downl