EMBL- EBI virtual course: 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.
Application deadline: 09.02.2025
Date: 12 - 16 May 2025
Description
Participants will learn via a mix of pre-recorded lectures, live presentations, and trainer Q&A sessions. Practical experience will be developed through group activities and trainer-led computational exercises. Live sessions will be delivered using Zoom with additional support and asynchronous communication via Slack.
Pre-recorded material may be provided before the course starts that participants will need to watch, read or work through to gain the most out of the actual training event. In the week before the course, there will be a brief induction session. Computational practicals will run on EMBL-EBI’s virtual training infrastructure, meaning participants will not require access to a powerful computer or install complex software on their own machines.
Participants will need to be available between the hours of 08:45 – 17:30 BST each day of the course. Trainers will be available to assist, answer questions, and provide further explanations during these times.
Audience
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.
Requirements
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. There are many tutorials available online and here are some that may be of help:
- To complete the following suggested tutorials you may want to install Ubuntu for Windows Users if you are using a computer with a Windows Operating System.
- We recommend these free tutorials:
Regardless of your current knowledge, we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.