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
    • R2
    • R program2
    • R script2
    • Bayesian methods1
    • Biostatistics1
    • Chromosome walking1
    • Clone verification1
    • Cloud computing1
    • Comparative transcriptomics1
    • Computer science1
    • DNA-Seq1
    • DNase-Seq1
    • Descriptive statistics1
    • Gaussian processes1
    • HPC1
    • High performance computing1
    • High throughput sequencing1
    • High-performance computing1
    • High-throughput sequencing1
    • Inferential statistics1
    • Markov processes1
    • MicroRNA sequencing1
    • Multivariate statistics1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Primer walking1
    • Probabilistic graphical model1
    • Probability1
    • Python1
    • Python program1
    • Python script1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Sanger sequencing1
    • Sequencing1
    • Single-cell genomics1
    • Single-cell sequencing1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Statistics1
    • Statistics and probability1
    • Targeted next-generation sequencing panels1
    • Transcriptome1
    • Transcriptome profiling1
    • Transcriptomics1
    • Variant pattern analysis1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • miRNA-seq1
    • py1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org4
    • Show N_FILTERS more
    • Keyword
    • R
    • Next generation sequencing2
    • Python2
    • Transcriptomics2
    • Unix/Linux2
    • ATAC-seq1
    • ChIP-seq1
    • Cloud computing1
    • Epigenetics1
    • General1
    • Long read sequencing1
    • RNA-seq1
    • Single-cell sequencing1
    • Statistics1
    • Variant analysis1
    • Show N_FILTERS more
    • Competency level
    • Not specified4
    • Show N_FILTERS more
    • Licence
    • BSD 3-Clause "New" or "Revised" License2
    • Creative Commons Zero v1.0 Universal2
    • Show N_FILTERS more
    • Author
    • UC Davis Bioinformatics Core Training Page4
    • Show N_FILTERS more
    • Contributor
    • Mine Cetinkaya-Rundel51
    • François Michonneau19
    • Katrin Leinweber18
    • Toby Hodges17
    • Erin Becker16
    • Zhian N. Kamvar15
    • Katie Anne Mills14
    • W. Trevor King14
    • Andy Boughton13
    • David Mawdsley13
    • Greg Wilson13
    • Jemma Stachelek13
    • Raniere Silva13
    • Tracy Teal13
    • Abby Cabunoc Mayes12
    • Brandon Curtis12
    • EvanWill12
    • Gabriel A. Devenyi12
    • Ian Lee12
    • Jeff Oliver12
    • Joel Nothman12
    • Jon Pipitone12
    • Jonah Duckles12
    • Maxim Belkin12
    • Michael Hansen12
    • Nick Young12
    • Piotr Banaszkiewicz12
    • maneesha12
    • naught10112
    • Allen Lee11
    • Andrew Sanchez11
    • David Pérez-Suárez11
    • Hannah Lyman11
    • Michael R. Crusoe11
    • Remi Rampin11
    • William L. Close11
    • Jennifer (Jenny) Bryan10
    • Laurent Gatto10
    • Rayna M Harris10
    • Yihui Xie10
    • Ana Conrado9
    • Canadian Bioinformatics Workshops9
    • Hadley Wickham9
    • James Allen9
    • John Blischak9
    • Jon Calder9
    • Rémi Emonet9
    • Y. Yu9
    • actions-user9
    • Emil Hvitfeldt8
    • Gerard Capes8
    • Jim Hester8
    • K.E. Koziar8
    • trk8
    • Alex Whan7
    • Dean Attali7
    • Kara Woo7
    • Maria Doyle7
    • Matt Settles7
    • Sarah Brown7
    • Stephan Druskat7
    • Andy Teucher6
    • Anthony Gitter6
    • Charlotte Wickham6
    • Federico Marini6
    • Garrett Grolemund6
    • Garrick Aden-Buie6
    • Ian Lyttle6
    • João Rodrigues6
    • Julia Silge6
    • Kirill Müller6
    • Luke W. Johnston6
    • Mateusz Kuzak6
    • Matt Paul6
    • Mauro Lepore6
    • Maëlle Salmon6
    • Michael Joseph6
    • Naupaka Zimmerman6
    • Paula Andrea Martinez6
    • Stéphane Guillou6
    • Thomas Carroll6
    • Will Beasley6
    • Aaron O'Leary5
    • Alexandru Mahmoud5
    • Alison Presmanes Hill5
    • Anthony Bretaudeau5
    • Ben Marwick5
    • C. Titus Brown5
    • Charlotte Soneson5
    • Christina K.5
    • Christophe Dervieux5
    • Colin Fay5
    • Colin Rundel5
    • David Kane5
    • Dirk Eddelbuettel5
    • Geert van Geest5
    • Helena Rasche5
    • Henry Schreiner5
    • Jon Harmon5
    • Lukas Weber5
    • 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 Contributors: najoshi

and Include broken links: true

4 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
  • ucdavis-bioinformatics-training/2021-July-Genome-Wide-Association-Studies

    ELIXIR node event
    Sequencing Statistics and probability Variant pattern analysis Variant analysis Statistics Next generation sequencing R
  • ucdavis-bioinformatics-training/2020-Advanced_Single_Cell_RNA_Seq

    ELIXIR node event
    Transcriptomics Single-cell sequencing RNA-Seq Single-cell sequencing RNA-seq Transcriptomics 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.