Merge pull request #27 from albarema/main

update news

news/upcoming/2025-03-24-genomics.qmd

@@ -5,10 +5,10 @@ image: "../../images/genomics2.png"
 Organizers: ARM and SS
 date: 2025-03-24
 categories: [genomics, gwas, KU, course]
-description: "Opening for signup soon"
+description: "Click to sign-up"
 ---
 
-Opening for signup soon.
+Sign up [here](https://eventsignup.ku.dk/gwaswiththegenomicssandboxmar2025).
 
 The Sandbox Genomics course is an intensive four-day program focused on training participants in Population genetics with a focus on Genome-Wide Association Studies (GWAS). The first day covers foundational genetics concepts through lectures and discussions, followed by a step-by-step guide to performing a GWAS study, from data preprocessing to results interpretation. A key feature is a hands-on GWAS case study where participants complete the entire process, including managing missing genotypes, conducting linear regression for association testing, and understanding linkage disequilibrium for fine-mapping. The course emphasizes practical skills, best practices, and common challenges in GWAS, especially when using high-performance computing.
 

news/upcoming/2025-04-7-hpcLaunch.qmd

@@ -5,9 +5,9 @@ author: JB & ARM
 Organizers: Jennifer Bartell
 date: 2025-04-07
 categories: [HPC, RDM, KU, course]
-description: "Opening for signup soon"
+description: "Click to sign-up"
 ---
 
-Opening for signup soon.
+Sign up [here](https://eventsignup.ku.dk/hpc-launchspring2025).
 
 The goal of the course HPC-Launch is to support the launch (and/or reconfiguration) of health data projects from an efficient and modern computing and data management perspective. Targeting trainees and researchers in bioinformatics and large-scale health records, the course will consist of two modules: High-Performance Computing (HPC) and Research Data management (RDM). With the HPC module, we want to expand understanding and efficient use of HPC resources for complex health data science projects. We will fill gaps in technical understanding for beginner to intermediate users of supercomputing platforms and share up-to-date information on computing resources available to Danish researchers and how to get access. With the RDM module, we will introduce the importance of research data management practices and demonstrate practical tips and tools for its implementation at a local research group level. Overall, the course will be a mix of theory, discussion of real-world use cases and participant needs, and active practice/exercises conducted on the HPC platform UCloud (SDU) using bash and relevant IDEs.