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
- Genome Annotation dataset2
- 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
- ELIXIR's Impact Toolkit1
- 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
- Transcriptomics slides1
- User Interface and Features dataset1
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- PINK project6
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Training materials

Accessing Annotation Resources

Bioconductor annotations: using and sharing resources

Ranges

Working with Genomic Ranges

Learn how to use Bioconductor to perform common tasks on your high-throughput sequencing data

Working with DNA Sequences

Sequence Data Representation

Bioconductor

Working with R

Bioconductor - Slides