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
    • High-performance computing
    • Cloud computing6
    • Computer science6
    • HPC6
    • High performance computing6
    • Exomes4
    • Genome annotation4
    • Genomes4
    • Genomics4
    • Personal genomics4
    • Synthetic genomics4
    • Viral genomics4
    • Whole genomes4
    • Bioinformatics3
    • Algorithms2
    • Chromosome walking2
    • Clone verification2
    • Computer programming2
    • DNA-Seq2
    • DNase-Seq2
    • Data analysis2
    • Data architecture2
    • Data architecture, analysis and design2
    • Data design2
    • Data structures2
    • High throughput sequencing2
    • High-throughput sequencing2
    • NGS2
    • NGS data analysis2
    • Next gen sequencing2
    • Next generation sequencing2
    • Panels2
    • Primer walking2
    • Programming languages2
    • Sanger sequencing2
    • Sequencing2
    • Software development2
    • Software engineering2
    • Targeted next-generation sequencing panels2
    • DNA polymorphism1
    • MicroRNA sequencing1
    • Microsatellites1
    • Pipelines1
    • Python1
    • Python program1
    • Python script1
    • R1
    • R program1
    • R script1
    • RFLP1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • SNP1
    • Single nucleotide polymorphism1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Software integration1
    • Tool integration1
    • Tool interoperability1
    • Transcriptome profiling1
    • VNTR1
    • Variable number of tandem repeat polymorphism1
    • Variant pattern analysis1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • Workflows1
    • miRNA-seq1
    • py1
    • snps1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org6
    • Show N_FILTERS more
    • Keyword
    • Cloud computing
    • Clinical data11
    • RDF8
    • Knowledge graph7
    • FAIR5
    • Ontology5
    • Query data5
    • SPARQL5
    • Interoperability4
    • Python4
    • EeLP3
    • GraphDB3
    • R3
    • SNOMED CT3
    • Semantic Framework3
    • eLearning3
    • ATC2
    • CHOP2
    • Coding2
    • Containerization2
    • Containers2
    • GA4GH2
    • HPC2
    • High performance computing2
    • LOINC2
    • Programming2
    • Reproducibility2
    • Security2
    • Triplestore2
    • Unix/Linux2
    • Versioning of Terminology2
    • discrete-event simulation2
    • Accessibility1
    • Artificial Intelligence1
    • Automated testing1
    • Automation1
    • Bioinformatics1
    • Bioschemas1
    • Clinical1
    • Computational biology1
    • Computational modelling1
    • Computational research1
    • Computer science1
    • Concepts design1
    • Conceptualization1
    • DES1
    • Data Science1
    • Data semantics1
    • Data validation1
    • Data visualization1
    • Dataset template1
    • Docker1
    • ELIXIR1
    • Findability1
    • General1
    • Green computing1
    • Health Services1
    • ICD1
    • ICD-10-GM1
    • Inference1
    • Linux1
    • Linux basics1
    • Mark-up1
    • Mock data1
    • Open Access1
    • Open Science1
    • Open Source Software1
    • Open source code1
    • Problem based learning1
    • Python for Data Analysis1
    • Quarto1
    • R Programming1
    • RAP1
    • RDF graph generation1
    • RDF graph validation1
    • RStudio1
    • Reproducible Analytical Pipeline1
    • Reproducible Environment1
    • Reproducible Research1
    • Reproducible Science1
    • Reusability1
    • Rmarkdown1
    • SHACL1
    • Semantic Web1
    • Semantic artifacts generation1
    • Semantic framework1
    • Semantic inheritance1
    • SimPy1
    • Simulation1
    • Standards1
    • Sustainability1
    • Terminology1
    • Unix1
    • WES1
    • WESkit1
    • Workflows1
    • biostatistics1
    • data visualisation1
    • data visualization1
    • data-driven modeling1
    • Show N_FILTERS more
    • Competency level
    • Not specified6
    • Show N_FILTERS more
    • Licence
    • License Not Specified3
    • Apache License 2.01
    • BSD 3-Clause "New" or "Revised" License1
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Author
    • AWS Samples1
    • Cloud-SPAN1
    • Eija Korpelainen1
    • Lynn Langit1
    • UC Davis Bioinformatics Core Training Page1
    • jhudsl1
    • Show N_FILTERS more
    • Contributor
    • Abby Cabunoc Mayes1
    • Abdulrahman Azab1
    • Ada Orajiaku1
    • 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
    • Candace Savonen1
    • Carrie Wright1
    • 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
    • Hannah Lyman1
    • 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
    • Kate Isaac1
    • Katie Anne Mills1
    • Katrin Leinweber1
    • Lauren Hagen1
    • Leon Meng1
    • Lynn Langit1
    • Marissa1
    • Mark Fernandes1
    • Matt Settles1
    • 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
    • Sam Hunter1
    • Sangram K Sahu1
    • Sarah Brown1
    • Sarah Stevens1
    • Stefano Nicotri1
    • Taylor Reiter1
    • The Gitter Badger1
    • Timothy Brown1
    • Todd Churchward1
    • Tracy Teal1
    • Vera1
    • W. Trevor King1
    • William L. Close1
    • Zhian N. Kamvar1
    • actions-user1
    • alanaschick1
    • almonaws1
    • alonie1
    • bpdurbin1
    • evelyngreeves1
    • happycharmander1
    • hgreebe1
    • jeffhataws1
    • jessyjli1
    • jhudsl-robot1
    • maneesha1
    • maxsamazon1
    • Show N_FILTERS more
    • Node
    • Switzerland6
    • Show N_FILTERS more
  • Only show materials from current space
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: Cloud computing

and Across all spaces: true

and Scientific topics: High-performance computing

6 materials found
  • jhudsl/Computing_for_Cancer_Informatics

    ELIXIR node event
    Computer science High performance computing Cloud computing
  • lynnlangit/gcp-for-bioinformatics

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

    ELIXIR node event
    Computer science Unix/Linux Cloud computing
  • ucdavis-bioinformatics-training/2020-Bioinformatics_Prerequisites_Workshop

    ELIXIR node event
    Python script R script Computer science General Unix/Linux R Python 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
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.