This course is intended for life scientists who are already familiar with general concepts of NGS technologies and want to expand their knowledge and skills on variant analysis. Course material is available for free.
This course is addressed to life scientists or bioinformaticians familiar with “Next Generation Sequencing” who wish to acquire the necessary skills to analyse RNA-seq gene expression data. Course material is available for free.
ELIXIR All Hands Meeting at Uppsala University was a resounding success! The grand main lecture hall provided a fantastic venue. It was wonderful to see colleagues from different nodes gather, share insights, and engage in enriching networking opportunities.
This interactive event will help participants understand ELIXIR’s structure and operations. It is particularly suitable for people who have been part of ELIXIR for less than two years, but is open to all. Those involved in onboarding new people to Nodes might also find this webinar useful.
By the end of the session, attendees should have a clearer picture of how they fit into ELIXIR and how best to apply their knowledge and skills to maximise their impact. They should leave with answers to their questions, and understand where to find further information and how to actively engage with ELIXIR.
On June 4, 2024, the DataCite Estonia consortium Open Science event took take place at the University of Tartu Library.
ELIXIR EE has been advocating for Open Science principles across universities in Estonia and our efforts have been noticed (slides by Liisi Lembinen). Additionally, our node contact has been recognized for their expertise in data management (slides by Janelle Kirss from Taltech).
This course is aimed at PhD students, post-docs and researchers in life sciences wanting to make computational inferences about gene regulation from gene expression data, chromatin accessibility and epigenetic mark data. The course is targeted to a wide audience ranging from computational biologists and bioinformatics researchers who regularly analyse transcriptome and epigenome data, to experimental researchers interested in inferring key regulatory interactions in their own data.
This course is aimed at PhD students, postdoctoral and other researchers in the life sciences who are planning how to proceed with comparative genomics analyses to investigate biological or evolutionary questions of importance to their study system, particularly to leverage comparative genomics tools and resources to characterise the gene repertoires of their non-model species.