ELIXIR Estonia
The purpose of ELIXIR is to construct and operate a sustainable infrastructure for biological information in Europe to support life science research and its translation to medicine and the environment, the bio-industries and society. These resources include databases, software tools, training materials, cloud storage and supercomputers.
The goal of ELIXIR is to coordinate these resources so that they form a single high quality infrastructure. This coordinated infrastructure makes it easier for researchers to find and share data, analyse their experiments, exchange knowledge, and agree on best practices.
Estonia joined ELIXIR as a full member in December 2013. The Estonian node focuses on developing and maintaining software tools and databases, linking of bioinformatics and biobanking, and last but not least, training researchers across borders.
Estonian ELIXIR Node is led by University of Tartu. Other partners are Tallinn University of Technology, National Institute for Physics and Biophysics, Tallinn University, and Estonian University of Life Sciences.
Autumn semester 2024 free ELIXIR courses in Estonia
- 18.09.2024 - Crash Course in Data Management (Zoom) - Registration open
- 24.09.2024 - How to make your messy data usable? / OpenRefine (F2F, Tartu) - Registration open
- 2.10.2024 - RStudio Basic (F2F, Tartu) - Registration open
- 3.10.2024 - Data visualisation (theory)(Zoom) - Registration open
- 9.10.2024 - Data Visualisation with RStudio (F2F, Tartu) - Registration open
- 17.10.2024 - Tableau for beginners (F2F, Tartu) - Registration open
Latest news and announcements
If you would like to be notified about the events, trainings and workshops running by ELIXIR Estonia, consider subscribing to the announcements mailing list
Uku Raudvere from ELIXIR Estonia was on Algorütm podcast
The title of the episode is “Teadustarkvara arendaja roll akadeemias” - “The role of a research software engineer”. Uku spoke mostly of his personal experiences developing software in academia. Viewable at https://youtu.be/watch?v=2oLt1NcrROg and listenable anywhere you consume podcasts.
ELIXIR Releases 2023 Annual Report Highlighting Significant Advances and Strategic Collaborations
ELIXIR, has released its Annual Report for 2023, showcasing a year of significant advancements, strategic collaborations, and impactful contributions to the life science field.
Webinar: DOME
DOME is a set of community-wide guidelines, recommendations and checklists, spanning these four areas (Data, Optimization, Model and Evaluation in Machine Learning) aiming to help establish standards of supervised machine learning validation in biology. The work was initially published in 2021 with more details on the DOME-ML page. This activity is part of the Machine Learning Focus Group.
Date: 24 September 2024, 13:00 CEST
Online: Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics
This course is addressed to life scientists, bioinformaticians, and computational biologists who would like to learn more about general best practices in Machine Learning and get more out of their Machine Learning models: more precise hyper-parameters, more generalizable models, and more interpretable models.
Application deadline: 29 September 2024
Date: 15 October 2024
Conference in Sweden: The Swedish Bioinformatics Workshop (SBW) 2024
The Swedish Bioinformatics Workshop (SBW) is an annual event that has been organized by different universities in Sweden since 2000. It is the biggest meeting of bioinformaticians and computational biologists in Sweden. Senior scientists and non-academic participants are welcome. In addition, the SBW2024 is part of the Nordic Computational Biology (Nordic CompBio) week and is open to participants from other Nordic countries (Estonia included).
Application deadline: 1st of October 2024
Date: 4-5 November 2024
Online course: Diving into deep learning - theory and applications with PyTorch
This course will not make the participant an absolute expert in the complex and dynamic world of Deep-Learning. Still, it will aim to “break the ice” through the explaination and implementation of simple yet concrete, deep-learning models using the PyTorch library. Participants will be introduced to the basic building blocks of deep-learning models and how the main parameters are tuned and monitored to ensure the training of large models. This course is aimed at PhD students, post-docs and researchers in life sciences who already know about Machine Learning and would like to discover and start practising Deep Learning with PyTorch.
Application deadline: 31 October 2024
Date: 07 - 08 November 2024
Virtual 2 Day Workshop SABIO-RK and FAIRDOMHub / FAIRDOM-SEEK
SABIO-RK (https://sabiork.h-its.org/) is a manually curated database for biochemical reactions and their kinetic properties. FAIRDOMHub (https://fairdomhub.org/) is a free research data management platform built upon the FAIRDOM-SEEK software (http://fairdomseek.org). FAIRDOM-SEEK contains specific features for systems biologists for data and model management. This is an introductory course for SABIO-RK and FAIRDOMHub. You have the option to participate in either one or both of the courses.
SABIO-RK: 25-NOV-2024 2:00 pm - 5:00pm (CET / UTC +1)
FAIRDOM-SEEK: 26-NOV-2024 2:00 pm - 6:00pm (CET / UTC +1)
Asynchronous e-learning course: Identifiers in Bioinformatics
Want to learn about identifiers used in bioinformatics? This asynchronous e-learning course can be completed online, at the desired pace and in the absence of an instructor.
Asynchronous e-learning course: Interoperable File Formats
In an era when data is being produced at unprecedented speed and in many different formats, data interoperability is key to sharing and archiving data. In this 1-h course, you will learn why file format is essential to interoperability, the criteria that file formats must fulfill to be interoperable, common interoperable file formats and how to convert a file to an interoperable format.