TeSS (Training eSupport System)

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- Genome annotation170
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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
- This webinar is aimed at scientists with an interest in learning more about the Europe PMC and optimising their literature searches.1
- 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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- Teaching materials at the Harvard Chan Bioinformatics Core25
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- NBIS - National Bioinformatics Infrastructure Sweden20
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- The Gulbenkian Training Programme in Bioinformatics19
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- UC Davis Bioinformatics Core Training Page18
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- Bioinformatics, Rockefeller University7
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- Input datasets34
- Research Data Management in Life Sciences11
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- Development in Galaxy slides6
- Proteomics dataset5
- Sequence analysis dataset5
- Transcriptomics dataset5
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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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Training materials

Introduction to R / Bioconductor

R / Bioconductor for everyone

Trends in Genomic Data Analysis in R

eQTL analysis -- an approach with Bioconductor

A short methylation analysis using minfi

Counting reads for RNA-seq in Bioconductor

Introduction to working with methylation arrays (slides)

Introduction to RNA-Seq data analysis

Sequence data represenations in Bioconductor

Introduction to Bioconductor for Sequence Analysis