skip to navigation skip to content
Mon 16 Sep - Wed 18 Sep 2013
09:00 - 17:30

Venue: Department of Genetics, Room G12

Provided by: Graduate School of Life Sciences


Booking

Bookings cannot be made on this event (Event is completed).


Other dates:

No more events

[ Show past events ]



Register interest
Register your interest - if you would be interested in additional dates being scheduled.


Booking / availability

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

Mon 16 Sep - Wed 18 Sep 2013

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
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
Sessions

Number of sessions: 3

# Date Time Venue Trainers
1 Mon 16 Sep 2013   09:00 - 17:30 09:00 - 17:30 Department of Genetics, Room G12 map Roslin Russell,  Oscar Rueda,  Mark Dunning,  Suraj Menon,  Thomas Carroll,  Dr Shamith Samarajiwa
2 Tue 17 Sep 2013   09:00 - 17:30 09:00 - 17:30 Department of Genetics, Room G12 map Roslin Russell,  Oscar Rueda,  Mark Dunning,  Suraj Menon,  Thomas Carroll,  Dr Shamith Samarajiwa
3 Wed 18 Sep 2013   09:00 - 17:30 09:00 - 17:30 Department of Genetics, Room G12 map Roslin Russell,  Oscar Rueda,  Mark Dunning,  Suraj Menon,  Thomas Carroll,  Dr Shamith Samarajiwa
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
Format

Presentations and practicals

Duration

3

Frequency

A number of times per year

Related courses
Theme
SBS Practical Bioinformatics Training: Specialized Topics

Booking / availability