EMBL-EBI Training: Cancer genomics
This course will focus on the analysis of data from genomic studies of 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.event info
This course will focus on the analysis of data from genomic studies of 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.
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?
This course is aimed at 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 (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.
What will I learn?
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
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
Saffron Walden, United Kingdom