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
    • Galaxy11
    • MuSiC suite: PoPMuSiC, HoTMuSiC, and SNPMuSiC4
    • SCANPY4
    • STAR2
    • annotatemyids2
    • Biopython1
    • DropletUtils1
    • FastQC1
    • MultiQC1
    • SAMtools1
    • UMI-tools1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training12
    • Show N_FILTERS more
    • Keyword
    • Single Cell12
    • paper-replication3
    • transcriptomics3
    • 10x2
    • MIGHTS2
    • data management2
    • work-in-progress2
    • jupyter-notebook1
    • plants1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner12
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International12
    • Show N_FILTERS more
    • Target audience
    • Students12
    • Show N_FILTERS more
    • Author
    • Mehmet Tekman
    • Wendi Bacon13
    • Julia Jakiela8
    • Bérénice Batut5
    • Pavankumar Videm5
    • Helena Rasche3
    • Morgan Howells3
    • Nicola Soranzo3
    • Anika Erxleben2
    • Daniel Blankenberg2
    • Hans-Rudolf Hotz2
    • Joachim Wolff2
    • Maria Doyle2
    • Marisa Loach2
    • Adelaide Rhodes1
    • Alex Ostrovsky1
    • Anna Syme1
    • Anne Fouilloux1
    • Anton Nekrutenko1
    • Beatriz Serrano-Solano1
    • Belinda Phipson1
    • Camila Goclowski1
    • Clemens Blank1
    • Cristóbal Gallardo1
    • Dave Clements1
    • Diana Chiang Jurado1
    • Ekaterina Polkh1
    • Fidel Ramirez1
    • Graham Etherington1
    • Harriet Dashnow1
    • Jon Trow1
    • Jonathan Manning1
    • Lucille Delisle1
    • Mallory Freeberg1
    • Marius van den Beek1
    • Melanie Föll1
    • Mo Heydarian1
    • Peter van Heusden1
    • Vivek Bhardwaj1
    • Wolfgang Maier1
    • Show N_FILTERS more
    • Contributor
    • Mehmet Tekman
    • Helena Rasche12
    • Saskia Hiltemann11
    • Wendi Bacon11
    • Björn Grüning10
    • Pavankumar Videm7
    • Bérénice Batut4
    • Marisa Loach4
    • Anthony Bretaudeau3
    • Julia Jakiela3
    • Morgan Howells3
    • Nicola Soranzo3
    • Hans-Rudolf Hotz2
    • Martin Čech2
    • Pablo Moreno2
    • Simon Bray2
    • Stéphanie Robin2
    • Amirhossein Naghsh Nilchi1
    • Armin Dadras1
    • Beatriz Serrano-Solano1
    • Carlos Chee Mendonça1
    • Cristóbal Gallardo1
    • Donny Vrins1
    • Gildas Le Corguillé1
    • Lucille Delisle1
    • Marius van den Beek1
    • Mohua Das1
    • Nate Coraor1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • slides2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets11
    • Associated Workflows11
    • 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

Authors: Mehmet Tekman

and Contributors: Mehmet Tekman

and Resource type: e-learning

12 e-learning materials found
  • e-learning

    Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution

    • beginner
    Single Cell data management transcriptomics
  • e-learning

    Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution

    • beginner
    Single Cell data management
  • e-learning

    Inferring single cell trajectories with Scanpy

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

    Pre-processing of 10X Single-Cell RNA Datasets

    • beginner
    10x Single Cell
  • e-learning

    Bulk RNA Deconvolution with MuSiC

    • beginner
    Single Cell transcriptomics
  • e-learning

    Comparing inferred cell compositions using MuSiC deconvolution

    • beginner
    Single Cell transcriptomics
  • e-learning

    Analysis of plant scRNA-Seq Data with Scanpy

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

    Inferring single cell trajectories with Scanpy (Python)

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

    Pre-processing of Single-Cell RNA Data

    • beginner
    Single Cell work-in-progress
  • e-learning

    Downstream Single-cell RNA analysis with RaceID

    • beginner
    Single Cell work-in-progress
  • 1
  • 2
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.