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2025
New Microchip Electrospinning Technology Paves the Way for Probiotic Wound Treatments
We are proud to share a recent publication by our team member, Marilin Moor, who contributed to a study on advanced wound care. Published in Materials Today Bio, the article titled “Living probiotics-loaded wound matrices prepared by microchip electrospinning” introduces a novel method for treating skin infections.
Data Visualisation with RStudio - 24.11.2025
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
Review of An Intuitive Primer of Effective Genomics Study Design
“An Intuitive Primer on Effective Functional Genomics Study Design” by Yoav Gilad provides a clear and accessible guide to the principles of effective functional genomics study design. Instead of prescribing fixed protocols, it encourages readers to think critically about their choices. For students, teachers, and researchers entering the field, it is an insightful and practical resource that I highly recommend.
OpenRefine andmete puhastamiseks - 07.11.2025
Praktiline töötuba, kus puhastame käsitsi sisestatud andmeid OpenRefine tarkvaraga. Esmalt käsitleme tabelarvutuse parimaid tavasid ning seejärel rakendame teadmisi OpenRefine’is. Koolitusel uurime OpenRefine tarkvara funktsionaalsusi: andmete puhastamist suuremate partiidena ja andmete ühtlustamist ühe hoobiga. Lisaks tutvustame võimalust laadida alla täiendavaid andmeid teistest andmebaasidest ja lisarakendusi.
Vajalik ette installeerida:
- OpenRefine (vajalik Java olemasolu) https://openrefine.org/download
ELIXIR Estonia’s January to June 2025 Highlights
The first half of 2025 has shown how ELIXIR Estonia combines international collaboration, national community-building, and innovative training to support researchers. With initiatives in citizen science, data management network, and skill development, the team is contributing to the foundation for a strong, sustainable research data ecosystem in Estonia.
ELIXIR’s student topics for ATI Day 24.09.2025
ELIXIR Estonia is building and maintaining web tools and other resources for life science research. We aim to build things that last and are useful over a longer period. we offer 4 topics:
- Topic 1: Modernising KEGGanim web application
- Topic 2: Contrastive Learning for Microscopy Image Understanding (taken)
- Topic 3: Vision learning to understand how good a basketball player X is in situation Y?
- Topic 4: Evaluating the Impact of Data Update Frequency on Functional Annotations Across 1000 Species Using g:Profiler data archives
Andmehaldus 101 - 10.10.2025
Andmehaldus 101 on ülevaatlik kursus, mis annab teadlastele praktilised oskused uurimisandmete tõhusaks organiseerimiseks ja haldamiseks. Kursusel käsitleme parimaid praktikaid failide nimetamisel, kaustastruktuuri loomisel, andmete varundamisel ja jagamisel. Suur rõhk on metaandmetel ning README-faili koostamisel – õpime, mida metaandmed tegelikult hõlmavad, miks need on teadustöö jätkusuutlikkuse seisukohalt hädavajalikud ning kuidas neid kasutada. Õpitut kinnistame praktiliste harjutuste ja ülesannete abil.
How to make your messy data usable? / OpenRefine - 23.10.2025
The practical workshop on cleaning your messy data with OpenRefine software.
First, we will cover spreadsheet best practices. Then, we will put that knowledge into practice with OpenRefine. This course will explore the depths of OpenRefine software and see what it can offer. This will include cleaning the data in bigger batches and unifying the data in one sweep (transforms and expressions). Additionally, we will introduce the possibility of downloading additional data from other databases and different extensions OpenRefine software has.
FiBar: A New Tool for Fiber Diameter Analysis in Drug Delivery Research
This summer, Marilin Moor, Product Manager of ELIXIR Estonia and now a PhD student at the University of Tartu, published a new article presenting FiBar, a tool for analysing fiber diameters in complex drug delivery systems. The research was carried out in collaboration with the Institute of Pharmacy (Laura Männaste, Marta Putrinš and Professor Karin Kogermann) and Dmytro Fishman, Associate Professor in Artificial Intelligence at the Institute of Computer Science, University of Tartu.