This 1-day course will introduce modules and recipes to unlock the potential of Python for day-to-day data exploration and analysis of real-life datasets. This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to explore if further in their daily data wrangling and exploration tasks.
Registration deadline: 08 May 2024
This course is addressed to bioinformaticians and life scientists that are doing bioinformatic analyses and want to get introduced to containers.
Registration deadline: 10 May 2024
In this interactive online workshop we will introduce the FAIR principles in the context of bioimaging data. Designed for researchers across all scales of bioimaging, from molecules to humans, this workshop will provide simple yet effective steps for a smooth start to your FAIR journey.
Date & Time: May 23, 2024 03:00 PM EET
This course is intended for PhD students, post-docs and staff scientists who are interested in applying ML to analyze these data. Please note that this 2-day course will be streamed over 4 half-days, in the afternoon of the following dates: 27 May 2024; 3 June 2024; 10 June 2024; 17 June 2024
Registration deadline: 20 May 2024
This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to write more efficient code in order to crunch more data faster.
Registration deadline: 09 May 2024
This course is addressed to life scientists and bioinformaticians familiar with some next-generation sequencing approaches and plan to use scRNA-seq in their research projects, and who are interested in learning how to navigate and analyze such data.
Registration deadline: 13 May 2024
This course is addressed to life scientists who work with next generation sequencing data and are interested in using ENA for submitting, finding or downloading FAIR sequencing data.
Registration deadline: 24 May 2024
This is a course on bioinformatics resources taught by the developers of the resources. Bgee is a curated database of gene expression in animals, including model species such as human, mouse or drosophila, and others such as livestock, primates, or fishes. Bgee integrates information from single-cell and bulk RNA-seq, microarrays, and in situ hybridization. These data are available through a web interface and an R package. Bgee also includes tools which use these data, such as TopAnat or Expression Comparison, and allows integration with users’ own data through another R package. In this course, we will present the curated and pre-analysed gene expression data in Bgee.
Application Deadline: 17 May 2024
This course is designed to facilitate the dissemination of two major resources about the disordered protein, DisProt and MobiDB, both part of ELIXIR infrastructure, within the scientific community. Through this course, participants will gain fundamental insights into Intrinsically Disordered Proteins data interpretation, the correlation with specific biological mechanisms and diseases while learning about the essential guidelines for becoming active contributors to the extensive network of DisProt curators.
Deadline for applications: 15th April 2024
The Norwegian Dataverse team will let us glimpse behind the curtain of repository management, addressing significant challenges, data curation processes, migration of data from one repository to another, and ensuring data quality. The course slides will be in English but most lecture information will be spoken in Estonian.