Tutorial: Bioconductor for the Analysis of High-throughput
Genomic Data
Martin Morgan , Fred Hutchinson Cancer Research
Center, USA.
Abstract
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.
Outline
Topics will include:
-
an overview of the Bioconductor project;
-
exploring and manipulating DNA sequence `short reads';
-
methods of statistical inference relevant to aligned read
counts;
-
annotation of genomic regions using publicly available
resources.
The tutorial highlights many features of R, including the S4
class system, package dependencies, interaction with web and
other general-purpose resources, and management of large data.
Prerequisites
Users are expected to have working familiarity with R, and to
be comfortable with basic biological and statistical
terminology associated with analysis of sequence-based genetic
data.
Workshop Materials
Users should come prepared with a modern laptop, including an
up-to-date installation of R and selected Bioconductor packages
(to be advertised on the Bioconductor web site, http://bioconductor.org, prior to
the tutorial).
Please check here for up to date tutorial resources.