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
    • Genome annotation96
    • Exomes89
    • Genomes89
    • Genomics89
    • Personal genomics89
    • R89
    • R program89
    • R script89
    • Synthetic genomics89
    • Viral genomics89
    • Whole genomes89
    • Comparative transcriptomics85
    • Transcriptome85
    • Transcriptomics85
    • MicroRNA sequencing74
    • RNA sequencing74
    • RNA-Seq74
    • RNA-Seq analysis74
    • Small RNA sequencing74
    • Small RNA-Seq74
    • Small-Seq74
    • Transcriptome profiling74
    • WTSS74
    • Whole transcriptome shotgun sequencing74
    • miRNA-seq74
    • Data management65
    • Metadata management65
    • Research data management (RDM)65
    • Chromosome walking64
    • Clone verification64
    • DNA-Seq64
    • DNase-Seq64
    • High throughput sequencing64
    • High-throughput sequencing64
    • NGS64
    • NGS data analysis64
    • Next gen sequencing64
    • Next generation sequencing64
    • Panels64
    • Primer walking64
    • Sanger sequencing64
    • Sequencing64
    • Targeted next-generation sequencing panels64
    • Bayesian methods50
    • Biostatistics50
    • Descriptive statistics50
    • Gaussian processes50
    • Inferential statistics50
    • Markov processes50
    • Multivariate statistics50
    • Probabilistic graphical model50
    • Probability50
    • Statistics50
    • Statistics and probability50
    • Active learning45
    • Ensembl learning45
    • Kernel methods45
    • Knowledge representation45
    • Machine learning45
    • Neural networks45
    • Recommender system45
    • Reinforcement learning45
    • Supervised learning45
    • Unsupervised learning45
    • Python36
    • Python program36
    • Python script36
    • py36
    • Single-cell genomics33
    • Single-cell sequencing33
    • FAIR data32
    • Findable, accessible, interoperable, reusable data32
    • Antimicrobial stewardship31
    • Medical microbiology31
    • Microbial genetics31
    • Microbial physiology31
    • Microbial surveillance31
    • Microbiological surveillance31
    • Microbiology31
    • Molecular infection biology31
    • Molecular microbiology31
    • Data rendering30
    • Data visualisation30
    • Metagenomics28
    • Shotgun metagenomics28
    • Pipelines26
    • Protein bioinformatics26
    • Protein databases26
    • Protein informatics26
    • Proteins26
    • Software integration26
    • Tool integration26
    • Tool interoperability26
    • Workflows26
    • Bioinformatics24
    • Protein structure22
    • Protein structure analysis22
    • Protein tertiary structure22
    • Variant pattern analysis21
    • Function analysis20
    • Show N_FILTERS more
    • Content provider
    • European Bioinformatics Institute (EBI)5
    • Glittr.org3
    • GOBLET1
    • Show N_FILTERS more
    • Keyword
    • Cloud computing3
    • Containerization1
    • Docker1
    • Green computing1
    • High performance computing1
    • Linux basics1
    • Sustainability1
    • Unix/Linux1
    • Show N_FILTERS more
    • Competency level
    • Not specified
    • Beginner1
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • License Not Specified
    • Apache License 2.01
    • BSD 3-Clause "New" or "Revised" License1
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Clinicians2
    • PhD students2
    • Show N_FILTERS more
    • Author
    • AWS Samples1
    • Cloud-SPAN1
    • Eija Korpelainen1
    • Paul Yorke1
    • Show N_FILTERS more
    • Contributor
    • Abby Cabunoc Mayes1
    • Abdulrahman Azab1
    • Alexandre Gobeaux1
    • Allen Lee1
    • Amanda Charbonneau1
    • Amazon GitHub Automation1
    • Amit Tyagi1
    • Andrew Sanchez1
    • Andy Boughton1
    • Anh Tran1
    • Annajiat Alim Rasel1
    • Bianca Peterson1
    • Bob Freeman1
    • Brandon Curtis1
    • Brittany N. Lasseigne, PhD1
    • C. Titus Brown1
    • Christophe Blanchet1
    • David Mawdsley1
    • David Pérez-Suárez1
    • Diego Scardaci1
    • Eija Korpelainen1
    • Emma Rand1
    • Erin Becker1
    • EvanWill1
    • Fotis E. Psomopoulos1
    • Francesco Giordano1
    • François Michonneau1
    • Gabriel A. Devenyi1
    • Greg Wilson1
    • Hilmar Lapp1
    • Ian Lee1
    • J. Lowell Wofford1
    • James Allen1
    • Jason Williams1
    • Jeff Oliver1
    • Jemma Stachelek1
    • Jerico Revote1
    • Joel Nothman1
    • Jon Pipitone1
    • Jonah Duckles1
    • JorgeBCh1
    • Kalle Happonen1
    • Karen Word1
    • Katie Anne Mills1
    • Katrin Leinweber1
    • Leon Meng1
    • Marissa1
    • Mark Fernandes1
    • Matthew Kweskin1
    • Maxim Belkin1
    • Michael Hansen1
    • Michael R. Crusoe1
    • Nick Young1
    • Nicolas Delhomme1
    • Ola Spjuth1
    • Olli Tourunen1
    • Paula Andrea Martinez1
    • Pedro L Fernandes1
    • Pierre-Yves1
    • Piotr Banaszkiewicz1
    • Ralph Richards1
    • Rama Malladi1
    • Raniere Silva1
    • Remi Rampin1
    • Rémi Emonet1
    • Sangram K Sahu1
    • Sarah Brown1
    • Sarah Stevens1
    • Stefano Nicotri1
    • Taylor Reiter1
    • Timothy Brown1
    • Todd Churchward1
    • Tracy Teal1
    • Vera1
    • W. Trevor King1
    • William L. Close1
    • Zhian N. Kamvar1
    • alanaschick1
    • almonaws1
    • alonie1
    • evelyngreeves1
    • hgreebe1
    • jeffhataws1
    • maneesha1
    • maxsamazon1
    • mhuguesaws1
    • murraycadzow1
    • naught1011
    • sjm4461
    • Show N_FILTERS more
    • Resource type
    • Recorded webinar3
    • e-learning2
    • Show N_FILTERS more
    • Node
    • EMBL-EBI5
    • Switzerland3
    • 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

Scientific topics: High-performance computing

and Competency level: Not specified

and Licence: License Not Specified

9 materials found
  • e-learning

    Sustainable computing in science: An introduction to the environmental impacts of computational research

    ELIXIR node event
    Computer science Bioinformatics Sustainability Green computing
  • Cloud-SPAN/prenomics00-intro

    ELIXIR node event
    Computer science Unix/Linux Cloud computing
  • ekorpela/cloud-vm-workshop

    ELIXIR node event
    Computer science Cloud computing Containerization Docker
  • aws-samples/aws-hpc-tutorials

    ELIXIR node event
    Computer science Cloud computing High performance computing
  • Recorded webinar

    Utilising GPUs in scientific algorithms

    ELIXIR node event
    Computational biology Computer science Software engineering Data security
  • Recorded webinar

    Data protection and security aspects of running simulations on personal data with HPC

    ELIXIR node event
    Data security Personalised medicine Computer science
  • Recorded webinar

    Analysis of huge metabolic models with COBREXA.jl

    ELIXIR node event
    Systems biology Simulation experiment Computer science
  • e-learning

    ResOps: Cloud-native tools and technology for researchers

    ELIXIR node event
    Computer science Data architecture, analysis and design Software engineering
  • Introduction to Linux Command Line

    Computer science Linux basics
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.