Bioinformatics for Ukraine

Basic information:

Bioinformatics for Ukraine advances bioinformatics and the life sciences in Ukraine by helping students and early-career researchers develop modern computational skills, participate in real-world research projects and international research networks, and strengthen the resilience and long-term capacity of the Ukrainian scientific community.

Regions of active representation or activity:

All of Ukraine

Main projects of the company:

BioInUA designs and delivers educational programmes in modern bioinformatics and computational biology, including:

Introduction to Bulk RNA-seq Analysis — a course covering the fundamentals of RNA sequencing data analysis and the relevant computational approaches.

Introduction to GWAS and Post-GWAS Analyses — a programme focused on genome-wide association studies and the subsequent biological interpretation of their findings.

Image Analysis with Python and Napari — a hands-on course on biomedical image analysis using Python and Napari tools.

The organisation also conducts practical workshops on drug discovery and biodiversity, as well as professional development webinars for students and early-career researchers.

BioInUA contributes to the organisation of the Eastern European Bioinformatics and Computational Genomics Workshop (EEBG) and develops partnerships with Ukrainian universities and international researchers.

The organisation also maintains educational resources and an active online community, providing participants with access to learning opportunities, scientific expertise, and international professional networks.

Which collaboration would be the most interesting/priority?

BioInUA prioritises partnerships that give students and early-career researchers access to real-world research projects and international experience.

Particularly valuable forms of cooperation include mentoring programmes, joint research projects and publications, integration into international student and early-career research networks, access to computational infrastructure and open datasets, the exchange of educational practices, grant support for training programmes, and long-term partnerships with academic institutions and organisations working in the life sciences.