From 594e495b9a151c839bbf3a80e08484ad6e621f6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alba=20Refoyo=20Mart=C3=ADnez?= <44649699+albarema@users.noreply.github.com> Date: Wed, 11 Sep 2024 11:55:30 +0200 Subject: [PATCH] Update index.qmd --- modules/index.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/index.qmd b/modules/index.qmd index 3c124f76..6052e750 100644 --- a/modules/index.qmd +++ b/modules/index.qmd @@ -28,7 +28,7 @@ You can **access our training modules** through: Computing skills are an important foundation for health data science (and using the above training modules), but formal training is often lacking as biomedical researchers navigate increasingly difficult computational tasks in their projects. These skills range from programming to the use of high-performance computers (HPC) to proper research data management. -- [RDM for biodata](https://hds-sandbox.github.io/RDM_NGS_course) (workshop on how to handle NGS data following simple guidelines to increase the FAIRability of your data) +- [RDM for biodata](https://hds-sandbox.github.io/RDM_biodata_course) (workshop on how to handle NGS data following simple guidelines to increase the FAIRability of your data) - [HPC launch (workshop in development)](https://hds-sandbox.github.io/HPC-lab/develop/hpc_intro.html) - [HPC pipes (workshop in development)](https://hds-sandbox.github.io/HPC-lab/develop/fair_workflow.html) - [HeaDS DataLab workshop materials](https://center-for-health-data-science.github.io/index.html) (workshops for programming and good practices developed by the Center for Health Data Science at the University of Copenhagen, which are sometimes co-taught by Sandbox staff! Includes **R**, **python**, **bash**, and **git**!)