Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Chromosome walking1
    • Clone verification1
    • DNA-Seq1
    • DNase-Seq1
    • High throughput sequencing1
    • High-throughput sequencing1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Primer walking1
    • Sanger sequencing1
    • Sequencing1
    • Targeted next-generation sequencing panels1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • Show N_FILTERS more
    • Keyword
    • Long read sequencing
    • Next generation sequencing8
    • Transcriptomics7
    • R5
    • RNA-seq5
    • Single-cell sequencing5
    • FAIR data3
    • Spatial transcriptomics3
    • Containerization2
    • Data management2
    • Docker2
    • Genomics2
    • Multiomics2
    • Reproducibility2
    • Singularity2
    • Variant analysis2
    • ATAC-seq1
    • ChIP-seq1
    • Data mining1
    • Data reuse1
    • Data visualization1
    • FAIR Data1
    • Flow cytometry1
    • Image analysis1
    • Immunology1
    • Online Repository1
    • Python1
    • Quarto1
    • Snakemake1
    • Unix/Linux1
    • Version control1
    • Workflows1
    • Show N_FILTERS more
    • Competency level
    • Not specified2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International1
    • License Not Specified1
    • Show N_FILTERS more
    • Author
    • SIB Swiss Institute of Bioinformatics2
    • Show N_FILTERS more
    • Contributor
    • Geert van Geest
    • Hannah Lyman2
    • Matt Settles2
    • Alex Samano1
    • Benedicte Garmann-Aarhus1
    • Chris Miller1
    • Deepak Tanwar1
    • Flavio Lombardo1
    • Galaxy Project1
    • Hadrien Gourlé1
    • Jacques Dainat1
    • Jason Walker1
    • Jason Williams1
    • Jcarlevaro1
    • John Garza1
    • Kartik Singhal1
    • Kelsy Cotto1
    • Mahul Chakraborty1
    • Marc Trunjer Kusk Nielsen1
    • Mariam Khanfar1
    • My Hoang1
    • Nadège Guiglielmoni1
    • Ole Kristian Tørresen1
    • Patricia Palagi1
    • Ryan Wick1
    • Sam Hunter1
    • Sam167111
    • Sebastian Jaenicke1
    • Sebastian Juenemann1
    • Susanna Kiwala1
    • Thomas B. Mooney1
    • Tim Kahlke1
    • Valeria Di Cola1
    • Zachary Skidmore1
    • asczyrba1
    • dependabot-support1
    • fburdet1
    • janbaasner1
    • jennymckenzie1
    • jessyjli1
    • jhayer1
    • linelle1
    • najoshi1
    • nkleinbo1
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: Long read sequencing

and Contributors: Geert van Geest

2 materials found
  • sib-swiss/sequencing-data-analysis-training

    ELIXIR node event
    Sequencing Next generation sequencing Long read sequencing Unix/Linux
  • sib-swiss/NGS-longreads-training

    ELIXIR node event
    Long read sequencing
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.