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course materials
Introduction to GitHub for chemists
• beginnerGit GitHub -
Tutorial
Introducción a Git y GitHub
• beginnerGit GitHub Version control -
hands-on tutorial
Introduction to Git and Github
• beginnerSoftware engineering Git Github Version control -
Training materials
Beginners introduction to Git and GitHub
• beginnerGit GitHub control version Reproducibility -
lessons
Version Control with Git
• beginnerVersion control Git GitHub Version Control -
RSE-Sheffield/git-github-zero-to-hero
Version control
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carpentries-incubator/collaborative-git-and-github-lesson
Version control
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Adding Schema.org to a GitHub Pages site
schemaorg, TeSS, GitHub pages -
Collaborating
Git
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Introducing Version Control
Git
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A Better Kind of Backup
Git
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Open Science
Git
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Conflicts
Git
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Basic Relational Structure of Git Repositories
Git
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Conversational Git
Git
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Introducing Distributed Version Control, and Introducing Yourself to Git
Git
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lessons, e-learning
Introduction to Data Management Practices - Versioning of data and code using Git
• beginnerData management FAIR data Software engineering RStudio CONVERGE README -
BioinfGuru/gitTutorial
Version control
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fhdsl/GitHub_Automation_for_Scientists
Workflows Reproducibility Version control
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Git Reference
Ref
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Training materials
Introduction to GitHub
• beginnerGitHub Reproducibility -
gcapes/git-course
Version control
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coderefinery/git-collaborative
Version control
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coderefinery/git-intro
Version control
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kottans/git-course
Version control
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swcarpentry/git-novice
Version control
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mmesiti/git-intermediate
Version control
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StevenVB12/stevenvb12.github.io
Comparative genomics Genomics
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sa2c/git-demystified
Version control
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MetOffice/git-novice
Version control
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Glittr.org
Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab.
750 training materialsGlittr.org https://glittr.org https://tess.elixir-europe.org/content_providers/glittr-org Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab. /system/content_providers/images/000/000/692/original/logo-with-domain.png?1698843802 -
NGS Registry
GitLab repository and its Wiki companion containing a collection of training materials for teaching next generation sequencing data analysis.
60 training materialsNGS Registry https://microasp.upsc.se/ngs_trainers/Materials/wikis/home https://tess.elixir-europe.org/content_providers/ngs-registry GitLab repository and its Wiki companion containing a collection of training materials for teaching next generation sequencing data analysis. -
Danish National Health Data Science Sandbox
The Health Data Science Sandbox is a national project coordinated by the Center for Health Data Science at the University of Copenhagen. Advisors and project data scientists are located at five Danish universities. We are building a data science sandbox for students and...
5 training materialsDanish National Health Data Science Sandbox https://hds-sandbox.github.io https://tess.elixir-europe.org/content_providers/danish-national-health-data-science-sandbox The Health Data Science Sandbox is a national project coordinated by the [Center for Health Data Science](https://heads.ku.dk/) at the University of Copenhagen. Advisors and project data scientists are located at five Danish universities. We are building a data science sandbox for students and researchers that contains non-person-sensitive datasets spanning key health data domains – electronic health records, omics data such as genomics and transcriptomics, images, and wearable device data. Datasets are sourced from public databases or generated via privacy-preserving approaches to synthetic health data. We are building modules that pair topical datasets with recommended analysis tools, pipelines, and learning materials/tutorials in a portable, containerized format. Our initial aim is to support university courses and programs in health data science and personal medicine, with broader environment access for researchers and university students planned in the future. Our sandbox for exploring health data science techniques will allow low-stakes guided learning and development followed by a smooth transition to a secure environment where users’ knowledge and tools can be applied to sensitive data. The sandbox environment is hosted on Danish supercomputers providing compute power while modules are publicly accessible on [GitHub](https://github.com/hds-sandbox). We thank the Novo Nordisk Foundation for funding support via the Data Science Research Infrastructure initiative. /system/content_providers/images/000/000/669/original/logo.png?1678825482