Introduction to Bioconductor for Sequence Analysis

useR! 2014, UCLA, USA,

2014-06-30 ~ 2014-06-30



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 'RNAseq', 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, GenomicAlignments, DESeq2, and VariantAnnotation, and other packages, with short exercises to illustrate the functionality of each package.


To be presented during useR! 2014.




The workshop assumes an intermediate level of familiarity with R, and basic understanding of biological and technological aspects of high-throughput sequence analysis. Participants should come prepared with a modern wireless-enabled laptop and web browser installed. (Please have Firefox, Chrome, or Safari installed, as RStudio Server does not work with Internet Explorer.)

Intended Audience

This workshop is for professional bioinformaticians and statisticians intending to use R / Bioconductor for analysis and comprehension of high-throughput sequence data.

Course Materials

Packages »

Bioconductor's stable, semi-annual release:

Bioconductor is also available via Docker and Amazon Machine Images.

Documentation »


R / CRAN packages and documentation

Fred Hutchinson Cancer Research Center