UBDS^3 2023
Program
Faculty
Harvard University, USA
Statistician, co-author of R, founder of Bioconductor, senior roles in biomedical research in academia, big pharma and biotech
CRG, Spain
Statistician, coordinator of the Bioinformatics and Genomics Programme of CRG, Barcelona
EMBL, Germany
Statistician, co-founder of Bioconductor, author of textbook “Modern Statistics for Modern Biology”
OIST, Japan
Bioinformatician, expert in genomics and evolution
University of Southern California, USA
Bioinformatician, genomics and biomedical data science, open science advocate
EMBL-EBI, UK
Founder of functional genomics databases at EMBL-EBI
University of Zurich, Switzerland
Computational biologist, expert in single-cell RNA-seq
Institut de Duve, Belgium
Computational biologist, expert in proteomics, software carpentries instructor
Universitat de Girona, Spain
Expert in machine learning
Anastasiia Horlova
Berlin Institute of Health at Charité - Center for Digital Health, Germany
Lada Isakova
École Normale Supérieure - PSL, France
Bohomoletz Institute of Physiology, Ukraine
Maryna Korshevniuk
University Medical Center Groningen, Netherlands
Daryna Zavadska
Institut de Biologia Evolutiva - CSIC UPF, Spain
Anastasiia Boshtova
Taras Shevchenko National University of Kyiv, Ukraine
Bohdana Hurieva
Weizmann Institute of Science, Israel
Svitlana Verbytska
Institute of Cell Biology and Genetic Engineering, Ukraine
Wellcome Sanger Institute, UK
Miguel Rodriguez
CRG, Spain
Julia Ruehle
CRG, Spain
UBDS^3 for beginners
To make the BDS^3 school more inclusive, the Ukrainian-speaking bioinformatics classes are held in parallel with the English-speaking lab work led by our international faculty.
The students with no or very basic programming skills get a chance to participate in one week of school. They attend lectures and theoretical courses in the morning (see schedule) and study bioinformatics in groups led by Ukrainian-speaking instructors in the afternoon.
The students cover the basics of a programming language (R or Python), study the theoretical foundations of a selected area of research, and complete a mini-project.
Project and course topics
Microscopy image analysis
Protist bioinformatics and metagenomics data analysis
Single-cell analysis
Comparative genetics and protein evolution
Academic and free writing
Our Python track integrates an active learning approach through the Bioinformatics Algorithms interactive textbook, gladly provided to the School for free.
