Bioinformatics: Analysis of High-throughput sequencing data with Bioconductor
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Description: This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing data. We will present workflows for the analysis of CHip-Seq and RNA-seq, as well as tools to annotate and visualise results derived from other sequencing experiments (such as DNA resequencing) Further information is available here.
- Our courses are open to all who might benefit
- Booking priority is given to people from Cambridge University and Collaborating Institutes
Number of sessions: 3
|Mon 16 Sep||09:00 - 17:30||Department of Genetics, Room G12||Roslin Russell , Oscar Rueda , Mark Dunning , Suraj Menon , Thomas Carroll , Dr Shamith Samarajiwa|
|Tue 17 Sep||09:00 - 17:30||Department of Genetics, Room G12||Roslin Russell , Oscar Rueda , Mark Dunning , Suraj Menon , Thomas Carroll , Dr Shamith Samarajiwa|
|Wed 18 Sep||09:00 - 17:30||Department of Genetics, Room G12||Roslin Russell , Oscar Rueda , Mark Dunning , Suraj Menon , Thomas Carroll , Dr Shamith Samarajiwa|
Format: Presentations and practicals
Frequency: A number of times per year
- A knowledge of current sequencing technologies, data formats (e.g. fastq and bam) and alignment
- Familiarity with the R programming environment and preferably some experience with Bioconductor
- To provide an understanding of how aligned sequencing-reads, genome sequences and genomic regions are represented in R.
- To encourage confidence in reading sequencing reads into R, performing quality assessment and executing standard pipelines for RNA-seq and CHip-Seq analysis
- Bioinformatics: An Introduction to Solving Biological Problems with R
- Bioinformatics: R object-oriented programming and package development
- Bioinformatics: Microarray Analysis with Bioconductor
- Bioinformatics: Next Generation Sequencing data analysis
- Bioinformatics: Analysing mapped NGS data with SeqMonk