ELIXIR

Tutorials developed within ELIXIR, a European life sciences infrastructure, bringing together scientists from over 240 research institutes spread over 21 Member countrie

ELIXIR is partly funded by the European Commission within the Research Infrastructures programme of Horizon 2020.

Material

Artificial Intelligence and Machine Learning in Life Sciences

Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas for ELIXIR, as evidenced by a number of ongoing activities and efforts throughout the community. However, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences

ELIXIR-GOBLET Train-the-Trainer

One of the ELIXIR Training Platform's objectives is to increase bioinformatics capacity and competency in Europe. This programme, established in collaboration with GOBLET, relies in the development of new courses and materials, and also specifically in the Train-the-Trainer (TtT) courses.

Editorial Board

This material is reviewed by our Editorial Board:

Bérénice Batut

Fotis E. Psomopoulos

Contributors

This material was contributed to by:

Fotis E. Psomopoulos

Bérénice Batut

Wandrille Duchemin

Patricia Palagi

Saskia Hiltemann

Björn Grüning

Ralf Gabriels

Raphael Mourad

Wendi Bacon

Cristóbal Gallardo

Allegra Via

Helena Rasche

Funding

These individuals or organisations provided funding support for the development of this resource

Gallantries

This project (2020-1-NL01-KA203-064717) is funded with the support of the Erasmus+ programme of the European Union. Their funding has supported a large number of tutorials within the GTN across a wide array of topics.