Virtual course

Cancer genomics (Virtual)

This course will focus on the analysis of data from genomic studies of Cancer.  Lectures will give an insight into the bioinformatic concepts required to analyse such data, whilst practical sessions will enable the participants to apply statistical methods to the analysis of cancer genomics data under the guidance of the lecturers and teaching assistants.

Who is this course for?

This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data.

Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.

What will I learn?

Learning outcomes

After this course you should be able to:

  • Evaluate the applications and challenges of HTS in the study of cancer genomics
  • Detect, visualise and annotate copy number variation
  • Interpret complex genomic rearrangements such as structural variants
  • Indicate the principles of tumour purity, heterogeneity and evolution and how these influence/impact upon bioinformatics analysis
  • Perform alignment and quantification of expression of RNA-seq datasets

Trainers

Ajay Mishra
EMBL-EBI, UK
Moritz Gerstung
EMBL-EBI, UK
Robert Eveleigh
McGill University, Canada
Tobias Rausch
EMBL, Heidelberg, Germany
Wendi Bacon
EMBL-EBI, UK
Alexey Larionov
Cancer Research UK Cambridge Institute
Francesco Iorio
Wellcome Sanger Institute, UK
Mathieu Bourgey
McGill University and Genome Quebec Innovation Centre, Canada
This course has ended

06 - 10 July 2020
Free
Contact
Rebecca Nicholl

Organisers
  • Ajay Mishra
    EMBL-EBI, UK
  • Moritz Gerstung
    EMBL-EBI, UK

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