With the development of high-throughput molecular technologies in the recent years, the fields of biology, biomedicine, and agriculture become data-rich fields and, consequently, there is an increasing need for biologists trained in data analysis. The aim of this highly intensive Research Summer School and Workshop in Statistical Omics is training of a new generation of the Statistical Omics scientists who understand biology and technology behind the data and can apply modern methods to analysis of these data. 

In two weeks of work on a cutting-edge scientific projects participants will be introduced to highly relevant real-world problems related to the fields of glycomics and genomics and gain experience of programming in R programming language. The School consists of project-based training-through-research and series of lectures designed to introduce students with biological/biomedical/biochemical background to statistical analyses of multiple omics datasets. Selected participants will spend two weeks learning and working on a project in a small groups of up to 5 students. Morning sessions are planned for the lectures that are intended to give an overview of the current state-of-the-art methods used in the field and corresponding theoretical background for practical sessions that will be held in the afternoons. First days are dedicated to introduction to the field of Statistical Omics and selection of projects. All projects will be presented by project leaders and students will choose the project they wish to work on. The groups will be formed balancing between personal choices and equal distribution of participants on all projects. Each group will consist of up to 5 students, a project leader and a tutor. During the School, several lectures will be held from the leading scientists in the field discussing the latest advances and discoveries. The School will end with a conference where students will present their work through posters and presentations. 

Given the nature and magnitude of the projects, students are invited to stay in contact with project leaders and to continue to work on projects after the School, potentially leading to scientific publications or qualification works (e.g. MSci or part of a PhD thesis).

RSSSO2016 Alumni Feedback

Alicia López Bruzos, Spain


RSSSO2016 was definitely more than a summer school. Apart from working in a challenging project and improve my bioinformatics and team-working skills I got an overview of what my future will be pursuing a PhD career. In RSSSO we don’t learn without knowing why; we learn new methods, techniques or models because we need them to advance in the project in which we work from the beginning. School creates a fruitful environment where young and older scientists work and live together, where scientists share working and spare time, where everybody encourage science mates to keep on. RSSSO build a network that, I hope, last for years.






Tim Padvitski, Belarus


I've enjoyed a great organization, great community and a great research project.

Among the main advantages of the school I would highlight the "learning through research" approach - it  allows you to learn new concepts and methods very fast. As for me, I had very little knowledge about GWAS before the school but has managed to comprehend many aspects of the methodology during two weeks of the project. And, of course, I should mention a splendid location of the school. Suffice to say, you don't need to leave the territory of MedILS to swim in the sea!

Dunja Habulin, Croatia


Bioinformatics is rapidly evolving area and it needs people who will understand how the data is generated (biological part), who are able to analyse the data computationally (machine learning, statistics, genomics and all the other -omics friends) and able to interpret the results (back to biology). RSSSO is the place to be if you want to have fun&learn a lot! And to further develop your table tennis skills of course!






Alexander Tkachenko, Russia

It is hard to imagine any context where young, highly-motivated scientists could meet to study something new and relevant in the field of omics, statistics, programming and data analysis and share their experience to collaborate on the projects during a limited timespan. What's even harder is to make it engaging and entertaining but productive and actually useful. Yet, RSSSO managed to achieve both goals. Everything - location and environment, lectures and courses, work on projects - was exactly on point and as needed. I would like to express my gratitude to everyone who made this wonderful experience possible, both amazing staff and participants. It was great!


Gloria Kraus, Croatia


Attending RSSSO 2016 was an amazing experience for me. Regardless of one's background, RSSSO covered wide range of topics, so everyone had a chance to implement their skills as well as to learn something new. One of the best things is that you get the chance to work on real projects, feel the workflow, work in teams and, finally, produce some results. But it was not just hard work. We also got to know each other, students, lecturers, project leaders, mentors and organizers and to simply have fun. I enjoyed very much my time at RSSSO and I would strongly recommend this school to everyone who is interested in the field of bioinformatics, but also wishes to meet some quite amazing people.