TeSS (Training eSupport System)

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- Genome annotation171
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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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- 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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- User Interface and Features dataset1
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- PHENotyping and EnviroTyping (PHENET training collection)19
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Training materials

Galaxy Proteomics workshop Prague 2018

Working with Ranges infrastructure: annotating and understanding regions

High-throughput sequencing: Alignment and related topic

Gene set enrichment analysis

Analysis of RNA-Seq Data

eQTL / molecular-QTL analyses

Integrated pathway analysis of multiple omics datasets

Meta-analysis of genomics experiments using Bioconductor

Proteomics

Genetics of gene expression: computation and integrative prediction