Omics Integration and Systems Biology
The aim of this workshop is to provide an integrated view of data-driven analysis of biological data through machine learning, graph and network analysis as well as constraint-based modeling integration methods.
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The aim of this workshop is to provide an integrated view of data-driven analysis of biological data through machine learning, graph and network analysis as well as constraint-based modeling integration methods.
The course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work.
This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs.
The workshop will introduce important research data management aspects through lectures, demonstrations, and hands-on computer exercises. The course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.
This intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment.
NBIS / ELIXIR-SE course open for PhD students, postdocs, group leaders and core facility staff at all Swedish universities interested in making their computational analysis more reproducible. Important dates and information Application opens: 2024-08-26 Application closes: 2024-10-18 Confirmation to accepted students: 2024-10-25 Course Leader and teachers: In case you miss information on any of the above […]
This course expands on common life science data analysis methods, including dimensionality reduction techniques beyond PCA, mixed-effects models for analysis of repeated measures, and survival analysis. We will also dive deeper into machine learning, covering more classification algorithms, ensemble techniques, optimization strategies and PLS methods for single and multi-omics data analysis
The aim of this workshop is to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises, with a focus on the practical aspects of analyses.
Chameleon workshop - a practical workshop to give the opportunity to the attendants to check their own samples and start familiarising with the machine. This is a fully practical course to give attendants the opportunity to get to know what can be obtained using the Chameleon for cryo-EM sample preparation, how to use the machine […]
Course with lectures and practical demonstrations in SEM and TEM techniques, including principles of electron microscopy, specimen preparation, cryo-electron microscopy and correlative light-electron microscopy. The main focus on imaging biological samples, but the course may also be suitable for material scientists interested in high-resolution electron microscopy.
Location: UCEM facility (EM-building) and Chemical Biological Centre (KBC) building, Umeå University, Linnaeus väg 6, Umeå Deadline for registration: 13 January 2025 Cryo-electron tomography (cryo-ET) is a powerful structural technique. Its power comes from its versatility to study biological systems in vitro or in situ, i.e. within cells or tissue. It has the ability to reach […]
National workshop for PhD students, postdocs, researchers, and other employees within Swedish academia, introducing the analysis of next generation sequencing data. Responsible teachers: Malin Larsson, Martin Dahlö, Roy Francis Contact information: edu.intro-ngs@nbis.se Important dates Application opens: 13-Jan-2025 Application closes: 23-Feb-2025 Confirmation to accepted students: Week 9, 2025 Course fee This online training event is […]
Last updated: 2025-12-15
Content Responsible: Isolde Palombo(isolde.palombo@scilifelab.se)