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
    • Biomathematics1
    • Computational biology1
    • Mathematical biology1
    • Theoretical biology1
    • Show N_FILTERS more
    • Tool
    • PhysiCell1
    • Show N_FILTERS more
    • Content provider
    • Pattern Institute1
    • PerMedCoE1
    • Show N_FILTERS more
    • Keyword
    • 16S1
    • GPU1
    • HPC1
    • Microbiome1
    • Qiime21
    • amplicon1
    • parallel computing1
    • Show N_FILTERS more
    • Competency level
    • Beginner1
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International1
    • MIT License1
    • Show N_FILTERS more
    • Target audience
    • life science researchers
    • Biologists8
    • Bioinformaticians4
    • Life Science Researchers4
    • Bioinformatician3
    • Chemists3
    • Researchers3
    • bioinformaticians3
    • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities2
    • Bioinformatician, Bioanalysts2
    • Biologists, Genomicists, Computer Scientists2
    • Computational biologists2
    • Life Scientists2
    • PhD students2
    • Toxicologists2
    • modelers2
    • post-docs2
    • Analysts1
    • Data Managers1
    • Data Scientists1
    • Data stewards1
    • Developers wanting to distribute their MPI dependent software1
    • Graduates1
    • HPC system maintainers wanting to enable MPI containers1
    • Microbiologists1
    • Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research1
    • PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
    • Postgraduate students1
    • Public Health Professionals1
    • Research Software Engineers1
    • Scientists1
    • Staff1
    • Students1
    • Users1
    • Users wanting to construct MPI containers1
    • computational scientists1
    • programmers1
    • researchers1
    • software developers, bioinformaticians1
    • software engineers1
    • tool authors1
    • Show N_FILTERS more
    • Author
    • David Palecek1
    • Tania Aires1
    • Show N_FILTERS more
    • Resource type
    • Tutorial
    • Presentation1
    • additional reading1
    • case studies1
    • didactic activities1
    • handbook1
    • implementation guidelines1
    • Show N_FILTERS more
    • Status
    • Active2
    • 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

Target audience: life science researchers

and Resource type: Tutorial

2 materials found
  • Tutorial

    Microbiome Analysis of Amplicon Sequencing

    • Beginner
    Qiime2 Microbiome amplicon 16S
  • Tutorial, Presentation

    Materials from 'Introduction to High Performance Computing for Life Scientists' course

    •• Intermediate
    Computational biology HPC GPU parallel computing
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.