July 1 - 12, 2024

The Third Edition of Eastern European Bioinformatics and Computational Genomics School

Suceava, Romania

Eastern European Bioinformatics and Computational Genomics School (EEBG) brings together researchers and students from bioinformatics, computational genomics, medicine, and biology to provide comprehensive training in these fields. By fostering collaboration and networking, EEBG School aims to develop bioinformatics in Eastern Europe and create a strong community of participants and guest speakers. 

Join EEBG School today to contribute to advancing bioinformatics and computational genomics, shaping the future of these domains in Eastern Europe.

Key Dates and Deadlines

February 1 - May 15  

Extended deadline May 31


Call for Applications

June 1



Notification of Selected Participants

June 25 



Notification of Travel Scholarships

July 1 

School Begins

July 6 - 7

Retreat at Vatra Dornei

July 12

School Ends

Speakers

This year’s program features an exceptional lineup of 18 Speakers from top universities in the US, Germany, Austria, Ukraine, Moldova and Romania. Immerse yourself in captivating lectures, inspiring keynotes, and hands-on sessions that will elevate your knowledge.

Tiffany Amariuta-Bartell

University of California San Diego, USA

Dumitru Ciorba

Technical University of Moldova, Moldova

Mihai Covasa

Western University of Health Sciences, USA

Mihai Dimian

Ștefan cel Mare University of Suceava, Romania

Scott Edmunds

Editor in Chief of GigaScience

Yaroslava Hasynets

Uzhhorod National University, Ukraine

Martin Holzer

Robert Koch Institute, Germany

Alexander Lucaci

Weill Cornell Medicine, USA

Andrei Lobiuc

Ștefan cel Mare University of Suceava, Romania

Serghei Mangul

University of Southern California, USA

Madhura Mukhopadhyay

Senior Editor at Nature Methods

Anton Nekrutenko

Penn State University, USA

Taras Oleksyk

Oakland University, USA

Oleksandr Petrenko

Medical University of Vienna, Austria

Khrystyna Shchubelka

Uzhhorod National University, Ukraine

Tatiana Tatarinova

University of La Verne, USA

Ian Toma

George Washington University, USA

Alexander Zelikovsky

Georgia State University, USA

Instructors

Our instructors are renowned experts in their fields and bring a wealth of knowledge and practical experience to the program. They will facilitate hands-on sessions and training, ensuring participants gain valuable skills and insights into cutting-edge bioinformatics techniques.

Grigore Boldirev, Georgia State University, USA

Nicolae Drabcinski, Tehnical University of Moldova, Moldova

Victor Gordeev, Technical University of Moldova, Moldova

Nadiia Kasianchuk, Adam Mickiewicz University Poland

Matvii Mykhailichenko, University of Wroclaw, Poland

Justin Su, University of Southern California, USA

Learning Objectives

The objective of this comprehensive course is to train students in state-of-the-art bioinformatics tools and methods for the analysis of next-generation sequencing (NGS) data. Throughout the course, students will:

The EEBG Summer School and the seminar organized at the university proposes to include practical work experience in the molecular biology and genetic analysis laboratories available at the University of Suceava and the Innovation Cluster. This approach highlights the strength of the university-innovation cluster partnership in developing the bio-economy and provides participants with the opportunity to gain hands-on experience in modern laboratories.

Purpose

The purpose of this intense two-weeks summer course is to gain a deep understanding of Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be explored, including long reads technologies (Pac Bio, Nanopore) and whole genome sequencing. You will be trained to understand NGS data formats and handle potential problems/errors therein. In the summer school, we will utilize real-life RNA-Seq datasets from the current market leader illumina. All students will be empowered to perform important initial tasks of NGS data analysis themselves, including GWAS, TWAS, and the use of polygenic scores (PRS/PGS). The layout of the summer school has been tailored to the needs of beginners in the field of NGS bioinformatics, enabling scientists with little or no background in computer science to gain their first hands-on experience in this rapidly evolving research topic. Evening social events, such as conference dinners or guided city tours, will be provided, offering great networking opportunities.

I

Biological Data Analysis Basics

Immerse yourself in the realm of bioinformatics data analysis, focusing on methods of cleaning, manipulating, and interpreting genomic, transcriptomic, and metagenomic data. Explore principles of working with tools for sequence alignment, genome assembly, gene annotation, and protein structure prediction.

Agenda

Biological Data Visualization

Explore the power of visualization tools for analyzing biological data, including genome plotting, assembly visualization, and metagenomic community analysis. Master visualization techniques for alignments, differential expression, and comparative genomics.

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Bioinformatics Data Analysis

Delve into data analysis methods in bioinformatics, including gene and function discovery, mutation and variant analysis, protein structure and association analysis, and prediction of biomolecule functions. Learn to work with popular bioinformatics tools.

Complex Relationships in Data

Delve into data analysis in bioinformatics, focusing on uncovering intricate relationships within biological datasets. Understand how to use bioinformatics tools to address diverse challenges in different fields of research or applied work.

Collaborative Research

Master collaborative work methods on bioinformatics projects, including version control systems like Git and SVN, and collaborative development platforms like GitHub and GitLab. Study principles of organizing and managing bioinformatics projects and distributed data processing.

Transparency in Research

Learn data publication methods, creation of open repositories, and implementation of open research practices, including the use of open licenses and data standards. Acknowledge the importance of openness and accessibility of data and code in bioinformatics. 

Venue

Address

Strada Universității 13, Suceava 720229, Romania

All courses will be held at the Stefan cel Mare University of Suceava.

What Previous Students Tell About EEBG School

Matvii Mykhailinchenko

University of Wroclaw

The best part of my experience at the school was being able to use what I already knew about scRNA-seq in a hands-on, project-based setting. I got to lead a group project in this area, which not only tested my knowledge but also gave me a chance to come up with new ideas. This project was made even better by getting advice and help from experts like Serghei Mangul and Alex Zelikovsky, whose insights were really important in shaping how we approached the project. Winning the "Most Innovative Approach" award for the project I led showed how the school's supportive and stimulating environment made a big difference.

It was a truly exceptional experience that blended the joys of learning and teaching. I am thrilled to have had the opportunity to reconnect with old friends and forge new connections with fellow participants. Notably, I had the privilege of finding my PhD supervisor, Prof.Alexander Zelikovsky, from Georgia State University, USA, right here at the EEGB. I extend my heartfelt gratitude to everyone who contributed to this incredible journey in bioinformatics. Your enthusiasm and dedication made this experience truly unforgettable. 

Grigore Boldirev

Georgia State University

Anastasiia Boshtova

Oxford University, UK

The EEBG experience was truly unique and undoubtedly resonated with all the participants.  The lectures, which covered various topics ranging from the basics to current trends in bioinformatics and scientific writing, were not only informative but also engaging. They provided a solid foundation for building further expertise in bioinformatics. However, what truly stood out for me were the group projects. The opportunity to immerse ourselves in a completely new topic, conduct research, and present a project within quite a tight timeframe was both challenging and immensely rewarding in the end.

Participating in the EEBG 2023 program was an incredibly rewarding experience for me, particularly due to the group projects. These projects were not just assignments; they were opportunities to bring the theories and concepts we learned in lectures and workshops to life. Working in groups allowed us to exchange ideas, challenge each other's thinking, and develop practical solutions in a hands-on way.

Nadiia Kasianchuk

Adam Mickiewicz University

Victor Gordeev

Technical University of Moldova

I recall the last EEBG school as an event planned in great detail and a very rich experience. For two weeks in a row, on a daily basis: we had a line-up of guest speakers from around the world to offer insights into their fields of study and undergoing projects; we benefited from a structured series of lectures from Serghei Mangul and Alex Zelikovsky to explain the basics and the state of the art in bioinformatics and computational biology; we applied our knowledge by working in teams on hands-on bioinformatics projects we ourselves chose from or came up with – all while receiving advice and assistance both on our projects and later on our presentations. At the end, we even received individual career advice in one-to-one interaction!  I remember the talks, the fully immersive teamwork, the struggle and satisfaction of making things work and obtaining the results, and of course the non-formal, friendly interaction with the hosts, the guest speakers, and the international participants.