This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu
:section_navigation => has_subnav?(@item) && subnav_items(@item).length > 0) %>

useR! 2013 R / Bioconductor for Analysis and Comprehension of High-Throughput Genomic Data

Albacete, Spain

2013-07-09 ~ 2013-07-09

Instructors

  • Martin Morgan
  • Marc Carlson

Description

DNA sequence analysis generates large volumes of data presenting challenging bioinformatic and statistical problems. This tutorial introduces Bioconductor packages and work flows for the analysis of sequence data. We learn about approaches for efficiently manipulating sequences and alignments, and introduce common work flows and the unique statistical challenges associated with RNA-seq, variant annotation, and other experiments. The emphasis is on exploratory analysis, and the analysis of designed experiments.The workshop emphasizes orientation within the Bioconductor milieu; we will touch on the Biostrings, ShortRead, GenomicRanges, edgeR, and VariantAnnotation, and other packages, with short exercises to illustrate the functionality of each package.

Materials

Course package vignette:

PDF R

Course package:

This package is already installed on your AMI. But you can install it on your own machine as follows:

useR2013_0.1.5.tar.gz

Download the file above and install as follows in R-3.0, starting R in the directory where you downloaded the file:

biocLite(c("GenomicFeatures", "ShortRead", "VariantAnnotation",
  "edgeR", "bioDist", "DiffBind", "org.Dm.eg.db",
  "BSgenome.Dmelanogaster.UCSC.dm3",
  "TxDb.Dmelanogaster.UCSC.dm3.ensGene",
  "BSgenome.Hsapiens.UCSC.hg19",
  "TxDb.Hsapiens.UCSC.hg19.knownGene",
  "SNPlocs.Hsapiens.dbSNP.20101109", "MotifDb", "seqLogo",
  "ggplot2"))
install.packages("useR2013_0.1.5.tar.gz", repos=NULL, type="source")