Analysis of High-Throughput Sequencing Data
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Date:
Monday 5 - Saturday 10 September 2016Application opens:
Tuesday 01 March 2016Application deadline:
Sunday 05 June 2016Participation:
Open application with selectionContact:
Cathy HemmingsRegistration fee:
Please visit course webpage for registration feesRegistration closed
Course Overview
The aim of this course is to familiarise the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches.
Audience
This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies and bioinformatics methods in their research.
Learning outcomes
After this course you should be able to:
- Understand the advantages and limitations of the high-throughput assays presented
- Assess the quality of your datasets
- Compare and apply appropriate short read aligners
- Perform alignment and peak calling of ChIP-seq datasets
- Perform alignment and quantification of expression for both small ncRNA and RNA-seq datasets
- Understand the challenges of single cell sequencing analysis
In association with
How to apply
For further details regarding this course, please visit the University of Cambridge course webpage: here
Application deadline
05 June 2016
Number of places
46 places
Organisers
Gabriella Rustici - School of Biological Sciences of the University of Cambridge