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
    • R script
    • Python21
    • Python program21
    • Python script21
    • py21
    • Genome annotation14
    • Bayesian methods12
    • Biostatistics12
    • Descriptive statistics12
    • Gaussian processes12
    • Inferential statistics12
    • Markov processes12
    • Multivariate statistics12
    • Probabilistic graphical model12
    • Probability12
    • Statistics12
    • Statistics and probability12
    • Comparative transcriptomics11
    • Exomes11
    • Genomes11
    • Genomics11
    • Personal genomics11
    • Synthetic genomics11
    • Transcriptome11
    • Transcriptomics11
    • Viral genomics11
    • Whole genomes11
    • Active learning10
    • Ensembl learning10
    • Kernel methods10
    • Knowledge representation10
    • Machine learning10
    • MicroRNA sequencing10
    • Neural networks10
    • R10
    • R program10
    • RNA sequencing10
    • RNA-Seq10
    • RNA-Seq analysis10
    • Recommender system10
    • Reinforcement learning10
    • Small RNA sequencing10
    • Small RNA-Seq10
    • Small-Seq10
    • Supervised learning10
    • Transcriptome profiling10
    • Unsupervised learning10
    • WTSS10
    • Whole transcriptome shotgun sequencing10
    • miRNA-seq10
    • Data rendering9
    • Data visualisation9
    • Chromosome walking7
    • Clone verification7
    • DNA-Seq7
    • DNase-Seq7
    • High throughput sequencing7
    • High-throughput sequencing7
    • NGS7
    • NGS data analysis7
    • Next gen sequencing7
    • Next generation sequencing7
    • Panels7
    • Primer walking7
    • Sanger sequencing7
    • Sequencing7
    • Single-cell genomics7
    • Single-cell sequencing7
    • Targeted next-generation sequencing panels7
    • Bioinformatics6
    • Cloud computing6
    • Computer science6
    • HPC6
    • High performance computing6
    • High-performance computing6
    • Pipelines5
    • Software integration5
    • Tool integration5
    • Tool interoperability5
    • Variant pattern analysis5
    • Workflows5
    • Biological modelling4
    • Biological system modelling4
    • Data management4
    • Metadata management4
    • Research data management (RDM)4
    • Systems biology4
    • Systems modelling4
    • Biological processes3
    • Bottom-up proteomics3
    • Breakend assembly3
    • Discovery proteomics3
    • Functional genome annotation3
    • Genome assembly3
    • Genomic assembly3
    • MS-based targeted proteomics3
    • MS-based untargeted proteomics3
    • Metagenome annotation3
    • Metaproteomics3
    • Molecular biology3
    • Show N_FILTERS more
    • Content provider
    • Glittr.org9
    • ERGA Knowledge Hub1
    • Show N_FILTERS more
    • Keyword
    • R10
    • Shiny3
    • Python1
    • Statistics1
    • Unix/Linux1
    • Show N_FILTERS more
    • Competency level
    • Not specified10
    • Show N_FILTERS more
    • Licence
    • MIT License
    • License Not Specified92
    • Creative Commons Attribution Share Alike 4.0 International34
    • GNU General Public License v3.0 only5
    • BSD 3-Clause "New" or "Revised" License3
    • Creative Commons Attribution 4.0 International3
    • Apache License 2.02
    • Creative Commons Zero v1.0 Universal2
    • Artistic License 2.01
    • Do What The F*ck You Want To Public License1
    • Show N_FILTERS more
    • Author
    • ELIXIR Estonia2
    • Martin J Frigaard2
    • Biocore@CRG1
    • CRUK CI Bioinformatics Core1
    • R for the Rest of Us1
    • Ted Laderas1
    • dcruvolo1
    • Show N_FILTERS more
    • Contributor
    • Martin J Frigaard2
    • David Keyes1
    • Eric Simms1
    • Ines Montani1
    • Jessica Minnier1
    • Joe Swinehart1
    • Julia Ponomarenko1
    • Mark Fernandes1
    • Matt Eldridge1
    • Matt Forshaw1
    • Nurlan Kerimov1
    • Priit Adler1
    • Raúl Barrera1
    • Sarah Bonnin1
    • Ted Laderas1
    • Thomas Vroylandt1
    • dcruvolo1
    • Show N_FILTERS more
    • Node
    • Switzerland10
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: R script

and Licence: MIT License

and Include broken links: true

10 materials found
  • mjfrigaard/shiny-app-pkgs

    ELIXIR node event
    R script Shiny R
  • harvardinformatics/learning-bioinformatics-at-home

    ELIXIR node event
    R script Statistics and probability Unix/Linux R Python Statistics
  • ELIXIREstonia/2025-09-01-R-basic

    ELIXIR node event
    R script R
  • rfortherestofus/book

    ELIXIR node event
    R script R
  • biocorecrg/CRG_RIntroduction_2021

    ELIXIR node event
    R script R
  • bioinformatics-core-shared-training/r-basics

    ELIXIR node event
    R script R
  • ELIXIREstonia/2023-10-24-R-basic

    ELIXIR node event
    R script R
  • mjfrigaard/shinypak

    ELIXIR node event
    R script Shiny R
  • laderast/RBootcamp

    ELIXIR node event
    R script R
  • davidruvolo51/shinytutorials

    ELIXIR node event
    R script Shiny R
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.