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 program
    • Comparative transcriptomics9
    • Transcriptome9
    • Transcriptomics9
    • MicroRNA sequencing8
    • RNA sequencing8
    • RNA-Seq8
    • RNA-Seq analysis8
    • Small RNA sequencing8
    • Small RNA-Seq8
    • Small-Seq8
    • Transcriptome profiling8
    • WTSS8
    • Whole transcriptome shotgun sequencing8
    • miRNA-seq8
    • Single-cell genomics6
    • Single-cell sequencing6
    • Chromosome walking5
    • Clone verification5
    • DNA-Seq5
    • DNase-Seq5
    • High throughput sequencing5
    • High-throughput sequencing5
    • NGS5
    • NGS data analysis5
    • Next gen sequencing5
    • Next generation sequencing5
    • Panels5
    • Primer walking5
    • Sanger sequencing5
    • Sequencing5
    • Targeted next-generation sequencing panels5
    • Python2
    • Python program2
    • Python script2
    • R2
    • R script2
    • Variant pattern analysis2
    • py2
    • Bayesian methods1
    • Biostatistics1
    • Breakend assembly1
    • ChIP-exo1
    • ChIP-seq1
    • ChIP-sequencing1
    • Chip Seq1
    • Chip sequencing1
    • Chip-sequencing1
    • Cloud computing1
    • Computer science1
    • DNA methylation1
    • Descriptive statistics1
    • Epigenetics1
    • Gaussian processes1
    • Genome assembly1
    • Genomic assembly1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Histone modification1
    • Inferential statistics1
    • Markov processes1
    • Metagenomics1
    • Methylation profiles1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • Sequence assembly (genome assembly)1
    • Shotgun metagenomics1
    • Statistics1
    • Statistics and probability1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • Show N_FILTERS more
    • Keyword
    • R2
    • Cloud computing1
    • General1
    • Python1
    • Unix/Linux1
    • Show N_FILTERS more
    • Competency level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • BSD 3-Clause "New" or "Revised" License2
    • Show N_FILTERS more
    • Author
    • UC Davis Bioinformatics Core Training Page
    • posit::conf(2024)14
    • posit-conf-202312
    • rstudio::conf(2022)7
    • The Carpentries Incubator6
    • Bioinformatics, Rockefeller University4
    • Hadley Wickham4
    • SIB Swiss Institute of Bioinformatics4
    • bioinformatics.ca4
    • Data Carpentry3
    • Rafael A Irizarry3
    • Roger D. Peng3
    • Ted Laderas3
    • Biocore@CRG2
    • Canadian Bioinformatics Workshops2
    • ELIXIR Estonia2
    • Jennifer (Jenny) Bryan2
    • Martin J Frigaard2
    • NBIS - National Bioinformatics Infrastructure Sweden2
    • R Programming @ University of Cincinnati2
    • RStudio Education2
    • Rami Krispin2
    • Sophie Lee2
    • BHKLAB1
    • Bioconductor1
    • Bradley Boehmke1
    • Bruno Rodrigues1
    • CRUK CI Bioinformatics Core1
    • Colautti Lab1
    • Colin Gillespie1
    • Computational Biology and Bioinformatics at UCLouvain1
    • Computational Cancer Biology and Epigenomics1
    • Data Challenge Lab Open Content1
    • David Robinson1
    • Dirk Eddelbuettel1
    • Duke Department of Statistical Science1
    • ELIXIR Europe Training1
    • Edwin Thoen1
    • Estella Yixing Dong1
    • George G. Vega Yon1
    • Hacking for Science1
    • Hugo Tavares1
    • Institut Français de Bioinformatique (IFB)1
    • Introduction to Data Science - 2020 - Semester 11
    • Isabella Velásquez1
    • JD Long1
    • Jemma Stachelek1
    • Jose A Dianes1
    • Lukas Weber1
    • Marek Gagolewski1
    • Master of Environmental Data Science (MEDS) program1
    • Max Planck Institute of Immunobiology and Epigenetics1
    • Melbourne Bioinformatics1
    • Michael Teske1
    • Modern Data Science with R1
    • Nathaniel Phillips1
    • Norm Matloff1
    • Northwestern IT Research Computing and Data Services1
    • Openscapes1
    • R for the Rest of Us1
    • RStudio1
    • Rebecca Barter1
    • Saskia1
    • Sean Davis1
    • Sergio Martínez Cuesta1
    • Software Carpentry1
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • ThinkR1
    • Trevor French1
    • UM Carpentries1
    • UNC Library Data Services1
    • Vince Carey1
    • What They Forgot to Teach You About R1
    • Will Landau1
    • dcruvolo1
    • jjallaire1
    • r-spark1
    • rnorm1
    • rostools1
    • swirl development team1
    • tidyverse1
    • Show N_FILTERS more
    • Contributor
    • najoshi2
    • Hannah Lyman1
    • Matt Settles1
    • Sam Hunter1
    • bpdurbin1
    • jessyjli1
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • 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: R program

and Competency level: Not specified

and Authors: UC Davis Bioinformatics Core Training Page

2 materials found
  • ucdavis-bioinformatics-training/2023-June-Introduction-to-R-for-Bioinformatics

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

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