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Wed 27 Apr - Fri 29 Apr 2016
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building, Downing Site

Provided by: Bioinformatics


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Analysis of high-throughput sequencing data with Bioconductor
Prerequisites

Wed 27 Apr - Fri 29 Apr 2016

Description

This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing high-throughput sequencing (HTS) data. We will present workflows for the analysis of ChIP-Seq and RNA-seq data starting from aligned reads in bam format. We will also describe the various resources available through Bioconductor to annotate and visualize HTS data, which can be applied to any type of sequencing experiment.

The course timetable is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Further details regarding eligibility criteria are available here
  • Further details regarding the charging policy are available here
Prerequisites
  • A knowledge of current sequencing technologies, data formats (e.g. fastq and bam) and alignment
  • A very basic knowledge of UNIX would be an advantage, but nothing will be assumed and extremely little will be required
  • Attendees should be comfortable with using the R statistical language to read and manipulate data, and produce simple graphs
Sessions

Number of sessions: 3

# Date Time Venue Trainers
1 Wed 27 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Mark Dunning,  Oscar Rueda,  Bernard Pereira
2 Thu 28 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Mark Dunning,  Oscar Rueda,  Bernard Pereira
3 Fri 29 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Dr Shamith Samarajiwa,  Dr Dora Bihary
Objectives

After this course you should be able to:

  • Know what tools are available in Bioconductor for NGS analysis and understand the basic object-types that are utilised
  • Given a set of gene identifiers, find out whereabouts in the genome they are located, and vice-versa (i.e. go from genomic coordinates to genes)
  • Produce a list of differentially-expressed genes from an RNA-seq experiment
  • Import a set of ChIP-seq peaks and investigate their Biological context
Aims

During this course you will learn about:

  • Quality assessment of raw sequencing reads and aligned reads using R.
  • Differential expression analysis using edgeR and DEseq.
  • Annotating HTS results with Bioconductor.
  • Importing ChIP-Seq peaks and performing downstream analysis.
  • Integrating ChIP-Seq and RNA-Seq data.
Format

Presentations and practicals

Duration

3

Frequency

A number of times per year

Related courses
Theme
Specialized Training

Booking / availability