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
    • Python program
    • R152
    • R program152
    • R script152
    • Bayesian methods42
    • Biostatistics42
    • Descriptive statistics42
    • Gaussian processes42
    • Inferential statistics42
    • Markov processes42
    • Multivariate statistics42
    • Probabilistic graphical model42
    • Probability42
    • Statistics42
    • Statistics and probability42
    • Comparative transcriptomics34
    • Transcriptome34
    • Transcriptomics34
    • Data rendering33
    • Data visualisation33
    • MicroRNA sequencing32
    • RNA sequencing32
    • RNA-Seq32
    • RNA-Seq analysis32
    • Small RNA sequencing32
    • Small RNA-Seq32
    • Small-Seq32
    • Transcriptome profiling32
    • WTSS32
    • Whole transcriptome shotgun sequencing32
    • miRNA-seq32
    • Single-cell genomics21
    • Single-cell sequencing21
    • Genome annotation19
    • Active learning17
    • Chromosome walking17
    • Clone verification17
    • DNA-Seq17
    • DNase-Seq17
    • Ensembl learning17
    • Exomes17
    • Genomes17
    • Genomics17
    • High throughput sequencing17
    • High-throughput sequencing17
    • Kernel methods17
    • Knowledge representation17
    • Machine learning17
    • NGS17
    • NGS data analysis17
    • Neural networks17
    • Next gen sequencing17
    • Next generation sequencing17
    • Panels17
    • Personal genomics17
    • Primer walking17
    • Recommender system17
    • Reinforcement learning17
    • Sanger sequencing17
    • Sequencing17
    • Supervised learning17
    • Synthetic genomics17
    • Targeted next-generation sequencing panels17
    • Unsupervised learning17
    • Viral genomics17
    • Whole genomes17
    • R markdown12
    • Enrichment6
    • Enrichment analysis6
    • Functional enrichment6
    • Over-representation analysis6
    • Variant pattern analysis6
    • Algorithms5
    • Computer programming5
    • Data structures5
    • Integrative omics5
    • Multi-omics5
    • Multiomics5
    • Pan-omics5
    • Panomics5
    • Programming languages5
    • Software development5
    • Software engineering5
    • Bottom-up proteomics4
    • Discovery proteomics4
    • MS-based targeted proteomics4
    • MS-based untargeted proteomics4
    • Metagenomics4
    • Metaproteomics4
    • Peptide identification4
    • Protein and peptide identification4
    • Proteomics4
    • Python4
    • Python script4
    • Quantitative proteomics4
    • Shotgun metagenomics4
    • Targeted proteomics4
    • Top-down proteomics4
    • py4
    • Bioinformatics3
    • Show N_FILTERS more
    • Content provider
    • Glittr.org4
    • Show N_FILTERS more
    • Keyword
    • R
    • Python78
    • Data science16
    • Unix/Linux4
    • General3
    • Reproducibility3
    • Shiny3
    • Artificial intelligence2
    • Containerization2
    • Version control2
    • Cloud computing1
    • Docker1
    • Large language models1
    • Programming1
    • Quarto1
    • Show N_FILTERS more
    • Competency level
    • Not specified4
    • Show N_FILTERS more
    • Licence
    • License Not Specified3
    • BSD 3-Clause "New" or "Revised" License1
    • Show N_FILTERS more
    • Author
    • Hacking for Science1
    • UC Davis Bioinformatics Core Training Page1
    • Vince Carey1
    • rnorm1
    • Show N_FILTERS more
    • Contributor
    • Alexandru Mahmoud1
    • Hannah Lyman1
    • Matt Bannert1
    • Matt Settles1
    • Sam Hunter1
    • Vince Carey1
    • bpdurbin1
    • jessyjli1
    • najoshi1
    • rnorm1
    • Show N_FILTERS more
    • Node
    • Switzerland4
    • 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

Keywords: R

and Include broken links: true

and Scientific topics: Python program

4 materials found
  • rnorm/book_sample

    ELIXIR node event
    Python script R script R Python Data science
  • vjcitn/BiocPyInterop

    ELIXIR node event
    Python script R script R Python
  • ucdavis-bioinformatics-training/2020-Bioinformatics_Prerequisites_Workshop

    ELIXIR node event
    Python script R script Computer science General Unix/Linux R Python Cloud computing
  • h4sci/h4sci-course

    ELIXIR node event
    Python script R script Data science R Python
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.