Course at EMBL-EBI

Cancer genomics and transcriptomics

This course will focus on the analysis of data from genomic studies of cancer. It will also highlight the application of transcriptomic analysis and single-cell technologies in cancer. Talks and interactive sessions 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 trainers.

In-person course

We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing.

Who is this course for?

We welcome applications from PhD students, post-doc researchers, and those working in industry. This course is well-suited for those who are applying, or planning to apply, high throughput sequencing and single-cell 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 (HTS) 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.

If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course:

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
  • Explain the principles of tumour purity, heterogeneity and evolution, and how we detect or quantify them using bioinformatic approaches
  • Explore the application of CRISPR-Cas9 genome editing in cancer studies
  • Perform alignment and quantification of expression of RNA-seq datasets
  • Explore the application of single-cell sequencing in cancer studies

Course content

During this course you will learn about:

  • Application of high throughput sequencing (HTS) in cancer
  • Introduction to cancer genomics and epigenetics
  • Structural variation, SNV and CNV analysis, and data visualisation
  • Application of CRISPR-Cas9 genome editing in studying cancer
  • RNA-seq analysis (both short and long reads)
  • Single-cell research in cancer

Trainers

Veronica Busa
German Cancer Research Center (DKFZ)
Isidro Cortes Ciriano
EMBL-EBI
Francesco Iorio
Human Technopole
Alexey Larionov
Cranfield University
Ajay Mishra
EMBL-EBI
Francesc Muyas Remolar
EMBL-EBI
Tobias Rausch
EMBL
Simone Zaccaria
UCL Cancer Institute
This course has ended

10 – 14 July 2023
European Bioinformatics Institute
United Kingdom
£825.00 inclusive of four nights accommodation and catering, including dinner
Contact
Sophie Spencer

Organisers
  • Isidro Cortes Ciriano
    EMBL-EBI
  • Ajay Mishra
    EMBL-EBI
  • Tobias Rausch
    EMBL

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