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

    • Tool
    • Galaxy3
    • Alevin1
    • DropletUtils1
    • SCANPY1
    • Salmon1
    • Seurat1
    • anndata1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training4
    • Show N_FILTERS more
    • Keyword
    • Single Cell
    • microgalaxy6
    • Assembly5
    • Statistics and machine learning5
    • Introduction to Galaxy Analyses4
    • Microbiome4
    • Sequence analysis4
    • biodiversity4
    • metagenomics4
    • Using Galaxy and Managing your Data3
    • illumina3
    • plants3
    • 10x2
    • Contributing to the Galaxy Training Material2
    • Foundations of Data Science2
    • Genome Annotation2
    • MIGHTS2
    • Variant Analysis2
    • assembly2
    • bacteria2
    • eukaryote2
    • interactive-tools2
    • jbrowse12
    • nanopore2
    • paper-replication2
    • Choose your own Adventure1
    • Climate1
    • CodeSpaces1
    • Command-line1
    • Digital Humanities1
    • GitPod1
    • QC1
    • Transcriptomics1
    • VGP1
    • animals1
    • beer1
    • binning1
    • citizen science1
    • covid191
    • deep-learning1
    • dephosphorylation-site-prediction1
    • diversity1
    • español1
    • fine-tuning1
    • genome1
    • gmod1
    • jupyter-lab1
    • jupyter-notebook1
    • machine-learning1
    • one-health1
    • pacbio1
    • taxonomic profiling1
    • text mining1
    • virology1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International4
    • Show N_FILTERS more
    • Target audience
    • Students4
    • Show N_FILTERS more
    • Author
    • Wendi Bacon2
    • Bérénice Batut1
    • Diana Chiang Jurado1
    • Hans-Rudolf Hotz1
    • Jonathan Manning1
    • Marisa Loach1
    • Mehmet Tekman1
    • Morgan Howells1
    • Pavankumar Videm1
    • Show N_FILTERS more
    • Contributor
    • Teresa Müller
    • Saskia Hiltemann32
    • Björn Grüning31
    • Wendi Bacon30
    • Helena Rasche29
    • Mehmet Tekman27
    • Pavankumar Videm25
    • Julia Jakiela16
    • Pablo Moreno11
    • Marisa Loach8
    • Bérénice Batut5
    • Martin Čech5
    • Morgan Howells5
    • Nicola Soranzo5
    • Anthony Bretaudeau4
    • Armin Dadras3
    • Matthias Bernt3
    • Simon Bray3
    • Stéphanie Robin3
    • Timon Schlegel3
    • Amirhossein Naghsh Nilchi2
    • Beatriz Serrano-Solano2
    • Camila Goclowski2
    • Carlos Chee Mendonça2
    • Cristóbal Gallardo2
    • David López2
    • Diana Chiang Jurado2
    • Gildas Le Corguillé2
    • Hans-Rudolf Hotz2
    • Jonathan Manning2
    • Donny Vrins1
    • Graeme Tyson1
    • Graham Etherington1
    • Lucille Delisle1
    • Marius van den Beek1
    • Mennayousef1
    • Mohua Das1
    • Nate Coraor1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets4
    • Associated Workflows3
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • 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

e-Learning

  • Subscribe via email

Email Subscription

Register training material

Keywords: Single Cell

and Contributors: Teresa Müller

and Resource type: e-learning

4 e-learning materials found
  • e-learning

    Clustering 3K PBMCs with Seurat

    • beginner
    10x Single Cell
  • e-learning

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

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

    Generating a single cell matrix using Alevin

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

    Clustering 3K PBMCs with Scanpy

    • beginner
    10x Single Cell
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.