TeSS (Training eSupport System)

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- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.1
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- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia.1
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- Input datasets34
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- Development in Galaxy slides6
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- Variant Analysis dataset4
- Assembly slides3
- ChIP-Seq data analysis dataset2
- Epigenetics dataset2
- Galaxy Server administration slides2
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- Metagenomics dataset2
- Sequence analysis slides2
- Beacon v2: a discovery tool for genomic and pheno-clinical data1
- COBRA Toolbox1
- Contributing to the Galaxy Training Material slides1
- DMPortal1
- Data Stewardship Wizard1
- DisGeNET: a discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases1
- EGA Submitter Portal Tutorial1
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- GPAP: the RD-Connect Genome-Phenome Analysis Platform for diagnosis and gene discovery in rare disease research1
- Genome Annotation slides1
- Genomics England PanelApp1
- Introduction to Galaxy Analyses dataset1
- Introduction to Galaxy dataset1
- Introduction to the EGA and sharing sensitive data1
- Slides | Beacon v2: a discovery tool for genomic and pheno-clinical data1
- Slides | DisGeNET: a discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases1
- Slides | GPAP: the RD-Connect Genome-Phenome Analysis Platform for diagnosis and gene discovery in rare disease research1
- Slides | Introduction to the EGA and sharing sensitive data1
- Statistics dataset1
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Training materials

Pitfalls and best practices for serializing Bioconductor objects

Introduction to DataFrames and the impact of recent changes

Research Data Management and Sharing

Surprises from scalable container and cloud-based R / Bioconductor deployments

Research Data Management

Tools for data management planning

Giving data context, structure and meaning

What happens to your data?

Why share your data?

Managing and making the most of your data