Training

This course will familiarise participants with methodologies for bioinformatics analysis of next generation sequencing (NGS) data. The content will provide insights into how biological knowledge can be derived from genomics experiments and explain different approaches to analysing such data. Practical sessions will allow participants to process training datasets and apply appropriate statistical methods in their analyses.

There will be no opportunity to work with your own data during the course.

During this course you will learn about:

• High-throughput sequencing technologies
• Quality control methods for cleaning raw read data
• Alignment of reads to a reference genome
• File format conversion and processing
• Tools for variant calling
• Methodologies for variant annotation
• Data resources for genomics data

After this course you should be able to:

• Know the advantages and limitations of high-throughput assays
• Assess the quality of genomic datasets
• Compare and apply appropriate short read aligners
• Perform variant calling analysis and variant annotation
• Locate relevant information from online data resource

All participants are encouraged to bring a poster that will be displayed during the course outside the training room. Posters should include information on your current research interests and how the course relates to this work. All posters should:

• be A2 in size - 420mm x 594 mm
• be in a portrait orientation
• include your photograph and contact information

Catering is provided throughout the duration of the course. All participants will be accommodated at the Wellcome Genome Campus Conference Centre for three nights.