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    • Author
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    • Beacon v2: a discovery tool for genomic and pheno-clinical data1
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    • 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
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    • VEIS webinar: The essentials of DUO codes | Video1
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Training materials

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Resource type: Video

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170 materials found
  • Video

    Managing and making the most of your data

    ELIXIR node event
    Data management
  • Video

    NanoCommons - Data Management in Nano Safety Research

    Data management Nanomaterials toxicology
  • Video, Manual, Slides, Installation instructions

    How to install and deploy Beacon

    ELIXIR node event
    • Beginner
    Genomics genomics open access eLearning EeLP
  • course materials, Training materials, Slides, Video

    RNA-seq data analysis using Chipster

    ELIXIR node event
    Genomics Transcriptomics transcriptomics RNA-Seq eLearning EeLP
  • course materials, Video

    Single cell RNA-seq data analysis with Chipster

    ELIXIR node event
    • Beginner
    RNA-Seq RNA-Seq Single Cell technologies scRNA-seq
  • course materials, Video

    Community analysis of amplicon sequencing data (16S rRNA)

    ELIXIR node event
    • Beginner
  • course materials, Video

    Virus detection using small RNA-seq

    ELIXIR node event
    • Beginner
    RNA-Seq
  • course materials, Video

    RNA-seq data analysis

    ELIXIR node event
    • Beginner
    RNA-Seq
  • Video

    Deep Learning using a Convolutional Neural Network

    ELIXIR node event
    •• Intermediate
    Machine learning
  • Video

    Introduction to Machine Learning Algorithms

    ELIXIR node event
    •• Intermediate
    Machine learning
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.