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Difficulty level: Beginner

and Contributors: Matthias Bernt

and Related resources: Associated Training Datasets

11 materials found
  • e-learning

    Filter, plot and explore single-cell RNA-seq data with Scanpy

    • beginner
    MIGHTS Single Cell paper-replication
  • e-learning

    Inferring single cell trajectories with Monocle3

    • beginner
    MIGHTS Single Cell paper-replication
  • e-learning

    Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab

    • beginner
    Climate interactive-tools
  • e-learning

    Building an amplicon sequence variant (ASV) table from 16S data using DADA2

    • beginner
    Metagenomics Microbial ecology Taxonomy Sequence analysis Metabarcoding 16S Microbiome metabarcoding microgalaxy
  • e-learning

    Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

    • beginner
    Climate interactive-tools
  • e-learning

    Group tags for complex experimental designs

    • beginner
    Using Galaxy and Managing your Data
  • e-learning

    Scanpy Parameter Iterator

    • beginner
    Single Cell
  • e-learning

    Creating Galaxy tools from Conda Through Deployment

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Galaxy Basics for genomics

    • beginner
    Introduction to Galaxy Analyses
  • e-learning

    Galaxy Basics for everyone

    • beginner
    Introduction to Galaxy Analyses
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