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
    • R6
    • R script6
    • Bottom-up proteomics3
    • Discovery proteomics3
    • MS-based targeted proteomics3
    • MS-based untargeted proteomics3
    • Metaproteomics3
    • MicroRNA sequencing3
    • Peptide identification3
    • Protein and peptide identification3
    • Proteomics3
    • Quantitative proteomics3
    • RNA sequencing3
    • RNA-Seq3
    • RNA-Seq analysis3
    • Small RNA sequencing3
    • Small RNA-Seq3
    • Small-Seq3
    • Targeted proteomics3
    • Top-down proteomics3
    • Transcriptome profiling3
    • WTSS3
    • Whole transcriptome shotgun sequencing3
    • miRNA-seq3
    • Bayesian methods2
    • Biostatistics2
    • Comparative transcriptomics2
    • Data management2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Metadata management2
    • Multivariate statistics2
    • Probabilistic graphical model2
    • Probability2
    • Research data management (RDM)2
    • Statistics2
    • Statistics and probability2
    • Transcriptome2
    • Transcriptomics2
    • Active learning1
    • Chromosome walking1
    • Clone verification1
    • DNA-Seq1
    • DNase-Seq1
    • Ensembl learning1
    • High throughput sequencing1
    • High-throughput sequencing1
    • Kernel methods1
    • Knowledge representation1
    • Machine learning1
    • NGS1
    • NGS data analysis1
    • Neural networks1
    • Next gen sequencing1
    • Next generation sequencing1
    • Omics1
    • Panels1
    • Primer walking1
    • Recommender system1
    • Reinforcement learning1
    • SQL1
    • Sanger sequencing1
    • Sequencing1
    • Structured Query Language1
    • Supervised learning1
    • Targeted next-generation sequencing panels1
    • Unsupervised learning1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org6
    • Show N_FILTERS more
    • Keyword
    • R6
    • Data science2
    • Reproducibility1
    • Show N_FILTERS more
    • Competency level
    • Not specified6
    • Show N_FILTERS more
    • Licence
    • License Not Specified6
    • Show N_FILTERS more
    • Author
    • The Carpentries Incubator2
    • Computational Biology and Bioinformatics at UCLouvain1
    • Hadley Wickham1
    • Rafael A Irizarry1
    • Saskia1
    • Show N_FILTERS more
    • Contributor
    • Laurent Gatto
    • Mine Cetinkaya-Rundel41
    • François Michonneau14
    • Katrin Leinweber13
    • Erin Becker11
    • Katie Anne Mills11
    • W. Trevor King11
    • Andy Boughton10
    • David Mawdsley10
    • Greg Wilson10
    • Jemma Stachelek10
    • Raniere Silva10
    • Toby Hodges10
    • Tracy Teal10
    • Zhian N. Kamvar10
    • Abby Cabunoc Mayes9
    • Brandon Curtis9
    • EvanWill9
    • Gabriel A. Devenyi9
    • Ian Lee9
    • Jeff Oliver9
    • Jennifer (Jenny) Bryan9
    • Joel Nothman9
    • Jon Pipitone9
    • Jonah Duckles9
    • Maxim Belkin9
    • Michael Hansen9
    • Nick Young9
    • Piotr Banaszkiewicz9
    • maneesha9
    • naught1019
    • Allen Lee8
    • Ana Conrado8
    • Andrew Sanchez8
    • David Pérez-Suárez8
    • James Allen8
    • Michael R. Crusoe8
    • Rayna M Harris8
    • Remi Rampin8
    • Rémi Emonet8
    • William L. Close8
    • Hadley Wickham7
    • Jim Hester7
    • Jon Calder7
    • Yihui Xie7
    • Alex Whan6
    • Canadian Bioinformatics Workshops6
    • Charlotte Wickham6
    • Dean Attali6
    • Garrett Grolemund6
    • Garrick Aden-Buie6
    • Gerard Capes6
    • Ian Lyttle6
    • John Blischak6
    • K.E. Koziar6
    • Kara Woo6
    • Kirill Müller6
    • Mauro Lepore6
    • Sarah Brown6
    • Stephan Druskat6
    • Y. Yu6
    • trk6
    • Andy Teucher5
    • Anthony Gitter5
    • Ben Marwick5
    • Jon Harmon5
    • João Rodrigues5
    • Luke W. Johnston5
    • Mara Averick5
    • Michael Joseph5
    • Paula Andrea Martinez5
    • Ryan Johnson5
    • Safouane Chergui5
    • Shannon Pileggi5
    • Stéphane Guillou5
    • actions-user5
    • jjallaire5
    • Angela Li4
    • Charlotte Soneson4
    • Christina K.4
    • Colin Rundel4
    • David Kane4
    • Dirk Eddelbuettel4
    • Emil Hvitfeldt4
    • Henrik Bengtsson4
    • Henry Schreiner4
    • Kai Tang (唐恺)4
    • Kevin Ushey4
    • Maria Doyle4
    • Marie-Helene Burle4
    • Matt Paul4
    • Maëlle Salmon4
    • Nathan Moore4
    • Nic Crane4
    • Nick Carchedi4
    • Paola Prieto4
    • Renato Alves4
    • Ted Laderas4
    • Thomas Carroll4
    • Will Beasley4
    • Show N_FILTERS more
    • Node
    • Switzerland6
    • 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 Contributors: Laurent Gatto

6 materials found
  • SaskiaFreytag/biocommons-r-intro

    ELIXIR node event
    R script R
  • UCLouvain-CBIO/WSBIM1207

    ELIXIR node event
    R script R Data science Reproducibility
  • carpentries-incubator/bioc-project

    ELIXIR node event
    R script R
  • carpentries-incubator/bioc-intro

    ELIXIR node event
    R script R
  • rafalab/dsbook

    ELIXIR node event
    R script Data science R
  • hadley/adv-r

    ELIXIR node event
    R script 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.