NBIS/ELIXIR-SE Tools for Reproducible Research
NBIS / ELIXIR-SE course is open for PhD students, postdocs, group leaders and core facility staff interested in making their computational analysis more reproducible.
Bringing life science professionals together and furthering skills in the scientific community are in SciLifeLab’s DNA. Our many events and courses, which span a wide range of topics, present opportunities to develop your know-how and share your own experiences and network – sparking new ideas, as well as new collaborations.
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events@scilifelab.se
education@scilifelab.uu.se
If you are part of the SciLifeLab community, you can submit an event to this calendar.
NBIS / ELIXIR-SE course is open for PhD students, postdocs, group leaders and core facility staff interested in making their computational analysis more reproducible.
This is a course for those in need of skills to write Snakemake workflows for reproducible and scalable bioinformatics data analyses.
The main purpose of this workshop is to provide a good overview of biomarkers and biomarker studies.
This workshop will introduce the best practice bioinformatics methods for analysing single cell RNA-seq data via a series of lectures and computer practicals.
Join us for our free Epigenetics workshop, where we will delve into pressing questions about epigenetic information, with a focus on DNA methylation. This translational technology is gaining ground in clinical practice, but there is room for improvement in Sweden. From methylation sequencing panels to bioinformatic analysis, we will explore it all. Long-read sequencing platforms […]
This course covers lectures and practical demonstrations in SEM and TEM techniques, specifically for life science applications. The contents include principles of electron microscopy, specimen preparation, cryo-electron microscopy and correlative light-electron microscopy. For electron microscopy in physical science applications, there will be a similar-content basic course organised later. Application deadline: The registration closes on 26 […]
This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of lectures and computer practicals. Topics covered will include: More details about the course can be found at the previous year webpage: RNAseq course 2023 The course will follow similar structure and topics. NOTE: in March […]
National workshop for PhD students, postdocs, researchers, and other employees within Swedish academia, introducing the analysis of next generation sequencing data.
The course is organized by: National Bioinformatics Infrastructure Sweden (NBIS) and National Genomics Infrastructure (NGI)
How do we build a collaborative and innovative workplace? In the first offering of this two-day course in Organizational Learning, learn how we can adapt and improve as an organization through gathering, sharing, and applying knowledge. This course goes beyond individual skill development to building organizational culture and structure. Through creating and utilizing organizational processes […]
This course offers guidance, ideas and tips for designing training/teaching, development and delivery on training activities, all based on research-driven educational principles. This course will cover the following topics: Course dates are: April 10, April 17, April 24 and May 2, held from 12:30-16:30 each day Registration Deadline: The registration deadline is March 22, 2024. […]
National course open for PhD students, postdocs, researchers and other employees in all Swedish universities, in need of cryo-EM data processing using national supercomputing resources. Important dates and information Application opens: 2024-03-18Application closes: 2024-04-07Confirmation to accepted students: 2024-04-08 Course Leader and teachers: Tim Schulte , Piotr Draczkowski In case you miss information on any of […]
A national course open for PhD students (prioritized), postdocs, researchers and other employees within Swedish universities who are interested in learning to produce publication quality plots using different packages in R.
Last updated: 2024-09-18
Content Responsible: Maria Bäckström(maria.backstrom@scilifelab.uu.se)