Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Algorithms24
    • Computer programming24
    • Data structures24
    • Programming languages24
    • Software development24
    • Software engineering24
    • Molecular diagnostics6
    • Personalised medicine6
    • Precision medicine6
    • Simulation experiment5
    • Biological models4
    • Biological networks4
    • Biological pathways4
    • Cellular process pathways4
    • Disease pathways4
    • Environmental information processing pathways4
    • Gene regulatory networks4
    • Genetic information processing pathways4
    • Interactions4
    • Interactome4
    • Metabolic pathways4
    • Molecular interactions4
    • Molecular interactions, pathways and networks4
    • Networks4
    • Pathways4
    • Signal transduction pathways4
    • Signaling pathways4
    • Bayesian methods1
    • Bioinformatics1
    • Biostatistics1
    • Cloud computing1
    • Codon usage1
    • Computer science1
    • DNA chips1
    • DNA microarrays1
    • Descriptive statistics1
    • Expression1
    • Gaussian processes1
    • Gene expression1
    • Gene expression profiling1
    • Gene transcription1
    • Gene translation1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Inferential statistics1
    • Markov processes1
    • MicroRNA sequencing1
    • Multivariate statistics1
    • Omics1
    • Pipelines1
    • Probabilistic graphical model1
    • Probability1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Software integration1
    • Statistics1
    • Statistics and probability1
    • Tool integration1
    • Tool interoperability1
    • Transcription1
    • Transcriptome profiling1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • Workflows1
    • miRNA-seq1
    • Show N_FILTERS more
    • Operation
    • Mathematical modelling4
    • Modelling and simulation4
    • Biological network analysis1
    • Biological network modelling1
    • Biological network prediction1
    • Network analysis1
    • Network comparison1
    • Network modelling1
    • Network prediction1
    • Network simulation1
    • Network topology simulation1
    • RNA-Seq analysis1
    • Show N_FILTERS more
    • Tool
    • COBREXA.jl2
    • CARNIVAL1
    • CellNOptR1
    • MaBoSS1
    • PhysiCell1
    • UPMaBoSS1
    • progeny1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training24
    • PerMedCoE9
    • ELIXIR-SI eLearning Platform (EeLP)1
    • Show N_FILTERS more
    • Keyword
    • Development in Galaxy
    • HPC
    • training64
    • Galaxy Server administration58
    • jupyter-notebook55
    • Foundations of Data Science51
    • Proteomics45
    • biodiversity42
    • data management41
    • Single Cell40
    • microgalaxy39
    • Statistics and machine learning35
    • Transcriptomics29
    • FAIR28
    • Contributing to the Galaxy Training Material27
    • Ecology27
    • Genome Annotation27
    • Rare Diseases & Research27
    • Using Galaxy and Managing your Data27
    • Bioinformatics25
    • Assembly22
    • Data analysis20
    • FAIR data20
    • ansible20
    • Microbiome19
    • data stewardship19
    • genes and genomes19
    • interactive-tools19
    • DNA RNA18
    • FAIR Data, Workflows, and Research18
    • Variant Analysis18
    • git-gat18
    • Teaching and Hosting Galaxy training17
    • elixir17
    • work-in-progress17
    • Python16
    • Roslin Institute16
    • Sequence analysis16
    • life-sciences16
    • reproducibility16
    • Climate15
    • Imaging15
    • Ontologies15
    • fair15
    • jbrowse115
    • transcriptomics15
    • Programming14
    • earth-system14
    • gmod14
    • Data management planning13
    • Babraham Institute13
    • Epigenetics13
    • Introduction to Galaxy Analyses13
    • Proteins13
    • R13
    • Shell13
    • data visualisation13
    • medicine and health13
    • next generation sequencing13
    • programming13
    • prokaryote13
    • EeLP12
    • Metabolomics12
    • eLearning12
    • health-informatics12
    • paper-replication12
    • Chemical biology11
    • Data management plan11
    • Europe PMC11
    • Git11
    • Introduction bioinformatics11
    • MIGHTS11
    • Metadata11
    • ai-ml11
    • biostatistics11
    • cyoa11
    • plants11
    • workflows11
    • Evolution10
    • Extras10
    • Gene Expression10
    • Introduction10
    • Literature search10
    • Phylogenetics10
    • covid1910
    • eukaryote10
    • label-free10
    • mark ibberson group10
    • services and resources10
    • Computational chemistry9
    • DDA9
    • Genomics9
    • Python biologists9
    • Standards9
    • bioinformatics9
    • computer-science9
    • machine learning9
    • metadata9
    • ocean9
    • one-health9
    • Show N_FILTERS more
    • Difficulty level
    • Beginner25
    • Intermediate9
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International25
    • License Not Specified5
    • Apache License 2.01
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
    • GNU General Public License v2.0 only1
    • GNU General Public License v3.0 only1
    • Show N_FILTERS more
    • Target audience
    • Galaxy Administrators24
    • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities5
    • Life Science Researchers1
    • Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research1
    • Trainers1
    • Training Designers1
    • Training instructors1
    • Show N_FILTERS more
    • Author
    • Björn Grüning9
    • John Chilton7
    • Saskia Hiltemann6
    • Bérénice Batut5
    • Anthony Bretaudeau3
    • Helena Rasche3
    • John Davis3
    • Nicola Soranzo3
    • Ross Lazarus3
    • Youri Hoogstrate3
    • Aysam Guerler2
    • Bartosz Bartmanski2
    • Dannon Baker2
    • Javi Conejero2
    • Miroslav Kratochvil2
    • Alan O'Cais1
    • Alex Ostrovsky1
    • Alfonso Valencia1
    • Assunta DeSanto1
    • Clemens Blank1
    • Cyril Monjeaud1
    • Damjan Harisch1
    • Dave B.1
    • David Vicente1
    • Erik Schill1
    • Gianmauro Cuccuru1
    • Gildas Le Corguillé1
    • Henrik Nortamo1
    • Hervé Ménager1
    • Jesse Harrison1
    • Johan Gustafsson1
    • Laurent Heirendt1
    • Leon Kos1
    • Loraine Guéguen1
    • Martin Čech1
    • Matthias Bernt1
    • Miguel Ponce de León1
    • Paul Zierep1
    • Simon Bray1
    • St Elmo Wilken1
    • Stéphanie Legras1
    • Vincent Noel1
    • Łukasz Opioła1
    • Show N_FILTERS more
    • Contributor
    • Helena Rasche22
    • Saskia Hiltemann22
    • Björn Grüning16
    • Gildas Le Corguillé15
    • Bérénice Batut13
    • Nicola Soranzo13
    • Niall Beard12
    • Cristóbal Gallardo8
    • William Durand7
    • Anthony Bretaudeau6
    • Martin Čech6
    • John Chilton5
    • Alex Ostrovsky3
    • Armin Dadras3
    • Dave B.3
    • John Davis3
    • Ross Lazarus3
    • Dannon Baker2
    • David López2
    • Marius van den Beek2
    • Wendi Bacon2
    • Assunta DeSanto1
    • Beatriz Serrano-Solano1
    • Clare Sloggett1
    • Erik Schill1
    • Johan Gustafsson1
    • Matthias Bernt1
    • Nate Coraor1
    • Nitesh Turaga1
    • Oleg Zharkov1
    • Paul Zierep1
    • Phil Reed1
    • Simon Bray1
    • Simon Gladman1
    • Youri Hoogstrate1
    • Show N_FILTERS more
    • Resource type
    • e-learning14
    • slides10
    • Tutorial5
    • Webinar4
    • Training materials1
    • Show N_FILTERS more
    • Related resource
    • Quarto/RMarkdown Notebook21
    • Associated Training Datasets1
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • Show N_FILTERS more
    • Node
    • Finland1
    • Slovenia1
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: HPC or Development in Galaxy

34 materials found
  • e-learning

    Setting up a dev Onedata instance

    • beginner
    Software engineering Development in Galaxy storage
  • e-learning

    ToolFactory: Generating Tools From More Complex Scripts

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Writing Automated Tests for Galaxy

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Creating Galaxy tools from Conda Through Deployment

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Data source integration

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Contributing to BioBlend as a developer

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Contributing a New Feature to Galaxy Core

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    ToolFactory: Generating Tools From Simple Scripts

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    Debugging Galaxy

    • beginner
    Software engineering Development in Galaxy
  • e-learning

    JavaScript plugins

    • beginner
    Software engineering Development in Galaxy
  • 1
  • 2
  • 3
  • 4
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.