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
    • Epigenomics3
    • ChIP-exo1
    • ChIP-seq1
    • ChIP-sequencing1
    • Chip Seq1
    • Chip sequencing1
    • Chip-sequencing1
    • Show N_FILTERS more
    • Tool
    • DeepTools3
    • Galaxy3
    • SAMtools3
    • BEDTools2
    • BWA1
    • Bowtie 21
    • FastQC1
    • JBrowse 21
    • MACS1
    • Trim Galore1
    • Trimmomatic1
    • UCSC Genome Browser Utilities1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training3
    • Show N_FILTERS more
    • Keyword
    • ChIP-seq
    • microgalaxy37
    • Proteomics36
    • Single Cell34
    • biodiversity27
    • Genome Annotation26
    • Transcriptomics26
    • Galaxy Server administration24
    • Statistics and machine learning23
    • Assembly16
    • Microbiome16
    • Using Galaxy and Managing your Data15
    • jbrowse115
    • Ecology14
    • fair14
    • gmod14
    • prokaryote13
    • FAIR Data, Workflows, and Research12
    • Variant Analysis12
    • Epigenetics11
    • Sequence analysis11
    • paper-replication11
    • work-in-progress11
    • Evolution10
    • Foundations of Data Science10
    • Imaging10
    • Introduction to Galaxy Analyses10
    • MIGHTS10
    • Metabolomics10
    • ansible10
    • data stewardship10
    • eukaryote10
    • interactive-tools10
    • cyoa9
    • git-gat9
    • jupyter-notebook9
    • label-free9
    • plants9
    • Climate8
    • Computational chemistry7
    • DDA7
    • dmp7
    • 10x6
    • EBV dataset6
    • assembly6
    • collections6
    • nanopore6
    • transcriptomics6
    • EBV workflow5
    • Visualisation5
    • data management5
    • illumina5
    • label-TMT115
    • metagenomics5
    • one-health5
    • 16S4
    • DIA4
    • Genetic composition EBV class4
    • HeLa4
    • bacteria4
    • bioimaging4
    • covid194
    • metabarcoding4
    • mouse4
    • FAIR3
    • QC3
    • RAD-seq3
    • amr3
    • apollo23
    • epigenetics3
    • metatranscriptomics3
    • open3
    • pangeo3
    • proteogenomics3
    • rmarkdown-notebook3
    • Community composition EBV class2
    • Contributing to the Galaxy Training Material2
    • Data Paper2
    • EML2
    • Metadata2
    • Species population EBV class2
    • Species populations EBV class2
    • Synthetic Biology2
    • VGP2
    • bulk2
    • climate2
    • data import2
    • deep-learning2
    • ecology2
    • essential genes2
    • eukaryota2
    • evolution2
    • human2
    • jobs2
    • jupyter-lab2
    • machine-learning2
    • maker2
    • monitoring2
    • networking2
    • pacbio2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner3
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International3
    • Show N_FILTERS more
    • Target audience
    • Students3
    • Show N_FILTERS more
    • Author
    • Anika Erxleben3
    • Vivek Bhardwaj3
    • Bérénice Batut2
    • Fidel Ramirez2
    • Friederike Dündar2
    • Joachim Wolff1
    • Leily Rabbani1
    • Mallory Freeberg1
    • Mo Heydarian1
    • Pavankumar Videm1
    • Show N_FILTERS more
    • Contributor
    • Armin Dadras3
    • Björn Grüning3
    • Bérénice Batut3
    • Helena Rasche3
    • Martin Čech3
    • Saskia Hiltemann3
    • Fidel Ramirez2
    • Maria Doyle2
    • Niall Beard2
    • Nicola Soranzo2
    • Anup Kumar1
    • Cristóbal Gallardo1
    • Florian Heyl1
    • Friederike Dündar1
    • Gildas Le Corguillé1
    • Joachim Wolff1
    • Leily Rabbani1
    • Mallory Freeberg1
    • Pavankumar Videm1
    • William Durand1
    • Show N_FILTERS more
    • Resource type
    • e-learning3
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Associated Workflows3
    • Show N_FILTERS more
  • Show disabled materials
  • Hide 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: ChIP-seq

and Related resources: Associated Training Datasets

and Include archived: true

3 materials found
  • e-learning

    Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

    • beginner
    Epigenomics ChIP-seq Epigenetics
  • e-learning

    Identification of the binding sites of the Estrogen receptor

    • beginner
    Epigenomics ChIP-seq Epigenetics work-in-progress
  • e-learning

    Formation of the Super-Structures on the Inactive X

    • beginner
    Epigenomics ChIP-seq Epigenetics
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.