Graduate School of Life Sciences Training

Bioinformatics: Analysis of High-throughput sequencing data with Bioconductor new 

Provided by: GSLS

Mon 16 Sep - Wed 18 Sep 2013  –  Department of Genetics, Room G12


Bookings cannot be made on this event (Event is completed)
The following alternative date is available:
    Wed 3 Sep 2014
Register your interest - if you cannot make any of the currently scheduled dates and would be interested in additional dates being scheduled.

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.

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:

  • Our courses are open to all who might benefit
  • Booking priority is given to people from Cambridge University and Collaborating Institutes

Duration: 3

Sessions:

Number of sessions: 3

Date Time Venue Trainer
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

Prerequisites:

  • 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

Aims:

  • 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

Related courses:

Theme: SBS Practical Bioinformatics Training: Specialized Topics