This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills.
The course will cover underlying theory and practical hands-on exercises. At the end of the course, participants should be able to run analysis workflows on their own omics data, adapt and combine different tools and make informed choices about bioinformatics data analysis strategies.
|9.00-9.30||Registration and help desk||Visualisation (with practical)||Gene set enrichment analysis (with practical)||Principles of differential expression analysis (experimental design and batch effect)||Single cell RNA-seq|
|9.30-10.30||Setting the stage: bioinformatics in academic research and industry|
|11.00-12.30||Introduction to R and Bioconductor||Bioconductor core technologies (SE, Genomics ranges)||Practical||High throughput sequencing data processing||Mass spectrometry-based proteomics|
|12.30-14.00||Lunch (on site)|
|14.00-15.30||Rmarkdown for reproducible research||Practical||Elements of statistics and machine learning||Bulk RNA-Seq||Quantitative proteomics data analysis|
|16.00-17.30||Practical||Working with biological annotations (with practical)||Practical||Practical||Practical|
|17.30-18.00||QA and day 1 wrap-up||QA and day 2 wrap-up||QA and day 3 wrap-up||QA and day 4 wrap-up||QA and workshop wrap-up|
The summer school will be limited to 50 participants.
To register, please fill out the Google form, providing contact details, information about your experience using R, Bioconductor, and omics in general, how this workshop will benefit your research, and a CV and motivation statement in case you would like to qualify for a scholarship. These information will be used by the organising committee to select participants in case of over-subscription. Registrants will then be notified by the 1 April 2019 whether they were selected and will be invited to proceed with payment by 15 April, upon which final registration will be confirmed.
Note that after payment, no refunds will be offered in case of cancellation.
We will be offering up to 20 scholarships of up to 1000 euros (500 euros for travelling and 500 euros for accommodation) to students and early career researchers.
The course material (lectures and practicals) will be made available on the course web page.
Participants are required to bring their own laptop with the most recent release versions of R and Bioconductor installed: R-3.5.x and Bioconductor 3.6 installed. Please make sure that your computer’s hardware is sufficiently powered (>4 GB RAM, > 2 GB free disk space), that you have a working wireless card, and that you have administrator rights. Software installation instructions will be provided before the workshop and delegates are required to install all software before the workshop.
Prerequisites Participants should have had some exposure to R or have some experience with another scripting/programming language prior to the course, and feel at ease with the suggested preliminary material below.
Preliminary reading material will be offered
All participants will be invited to a dinner will be organised in the Louvain House mezzanine on Wednesday evening.
For inquiries related to the registration, scientific program, organisation, please contact us at email@example.com.