Course Materials for 2012

Bioconductor European Developers' Workshop 2012

December, Zurich, Switzerland

Advanced R/Bioconductor Programming

October, Seattle, USA

Advanced R / Bioconductor Programming provides experienced R and Bioconductor users and package developers with an opportunity to develop advanced skills for creating performant, re-usable software.


July, Seattle, USA

This conference highlights current developments within and beyond Bioconductor, an international open source and open development software project for the analysis and comprehension of high-throughput genomic data.

Computational Statistics for Genome Biology (CSAMA)

July, Bressanone/Brixen, Italy

This one week intensive course will give insights into recent advances in statistical and computational aspects of the design and interpretation of genome-scale experiments. The topics will include all aspects of the data analysis of high-throughput sequencing for transcriptomics (RNA-Seq) and chromatin dynamics (ChIP-Seq). The course is intended for researchers with a basic understanding of these technologies and their associated statistical and computational challenges. The four practical sessions of the course will require basic programming in the language R.

Next generation sequencing data analysis with R/Bioconductor

June, CSC IT Center For Science, Espoo, Finland

This course by Dr Martin Morgan covers R/Bioconductor functionality for several aspects of next generation sequencing data analysis, ranging from RNA-seq and ChIP-seq data analysis to variant annotation. The course consists of lectures and hands-on exercises, and it is targeted for people who already have experience with the R statistical programming language.

Bioconductor workshop at 8th International R Users Meeting

June, Nashville, TN, USA

Bioconductor for High-Throughput Sequence Analysis

R / Bioconductor for high-throughput sequence analysis

May, Seattle, USA

R / Bioconductor for High-Throughput Sequence Analysis introduces essential concepts and work flows in the manipulation and statistical analysis of sequence data. Topics covered include: essential R skills; working with sequences and alignments; RNA-seq differential expression work flows; aspects of ChIP-seq; and annotation of genes, genomes and variants. Participants engage in lectures and hands-on exercises. Participants require a laptop with internet access and a current browser.

Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis

February, Seattle, USA

The Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis is a unique combination of expert practitioners and advanced students working together to explore statistical and bioinformatic issues in analysis of high throughput genomic data.


January, Český Krumlov, Czech Republic

Bioconductor courses as part of the 2012 Workshop on Genomics (Evomics).

Fred Hutchinson Cancer Research Center