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
    • Data rendering2
    • Data visualisation2
    • Enrichment2
    • Enrichment analysis2
    • Functional enrichment2
    • Over-representation analysis2
    • R markdown2
    • ChIP-exo1
    • ChIP-seq1
    • ChIP-sequencing1
    • Chip Seq1
    • Chip sequencing1
    • Chip-sequencing1
    • Comparative transcriptomics1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • MicroRNA sequencing1
    • R1
    • R program1
    • R script1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Transcriptome1
    • Transcriptome profiling1
    • Transcriptomics1
    • Variant pattern analysis1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • miRNA-seq1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org5
    • Show N_FILTERS more
    • Keyword
    • R
    • RNA-seq8
    • Transcriptomics8
    • Next generation sequencing7
    • ChIP-seq3
    • Data visualization2
    • Enrichment analysis2
    • FAIR data2
    • Rmarkdown2
    • Unix/Linux2
    • Variant analysis2
    • Version control2
    • ATAC-seq1
    • General1
    • Genomics1
    • Python1
    • Reproducibility1
    • Single-cell sequencing1
    • Statistics1
    • Show N_FILTERS more
    • Competency level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • License Not Specified4
    • Creative Commons Zero v1.0 Universal1
    • Show N_FILTERS more
    • Author
    • Teaching materials at the Harvard Chan Bioinformatics Core
    • posit-conf-202317
    • posit::conf(2024)15
    • UC Davis Bioinformatics Core Training Page12
    • SIB Swiss Institute of Bioinformatics10
    • The Carpentries Incubator10
    • rstudio::conf(2022)9
    • ELIXIR Estonia7
    • bioinformatics.ca7
    • Bioinformatics, Rockefeller University6
    • Data Carpentry6
    • Hadley Wickham5
    • Computational Biology and Bioinformatics at UCLouvain4
    • NBIS - National Bioinformatics Infrastructure Sweden4
    • RStudio4
    • The Gulbenkian Training Programme in Bioinformatics4
    • C. Li3
    • CRUK CI Bioinformatics Core3
    • Lukas Weber3
    • R Programming @ University of Cincinnati3
    • RStudio Education3
    • Rafael A Irizarry3
    • Roger D. Peng3
    • Ted Laderas3
    • Biocore@CRG2
    • Bruno Rodrigues2
    • Canadian Bioinformatics Workshops2
    • Emil Hvitfeldt2
    • Fred Hutch Data Science Lab2
    • Health Data Science Sandbox2
    • Institut Français de Bioinformatique (IFB)2
    • James W. MacDonald2
    • Jennifer (Jenny) Bryan2
    • Jose A Dianes2
    • Martin J Frigaard2
    • Mick Watson2
    • Oslo Centre for Biostatistics and Epidemiology2
    • Rami Krispin2
    • Sergio Martínez Cuesta2
    • Sophie Lee2
    • A. Solomon Kurz1
    • Aditya Dahiya1
    • Alex's Lemonade Stand Foundation1
    • András Aszódi1
    • Applied Machine Learning for Tabular Data1
    • BHKLAB1
    • Bioconductor1
    • BiotrAIn1
    • Boston University1
    • Bradley Boehmke1
    • Broad Institute1
    • CDSB1
    • Carson Sievert1
    • Causal Inference in R1
    • Christian Burkhart1
    • Claus Wilke1
    • Coding For Reproducible Research (CfRR)1
    • Colautti Lab1
    • Colin Gillespie1
    • Computational Cancer Biology and Epigenomics1
    • Computational Genomics with R1
    • Daniel Kaplan1
    • Danielle Navarro1
    • Data Challenge Lab Open Content1
    • David Dalpiaz1
    • David Robinson1
    • Davis Laboratory1
    • Dirk Eddelbuettel1
    • Duke Department of Statistical Science1
    • ELIXIR Europe Training1
    • Edwin Thoen1
    • Eric C. Anderson1
    • Estella Yixing Dong1
    • G. Jay Kerns1
    • Galaxy Project1
    • George G. Vega Yon1
    • Hacking for Science1
    • Hugo Tavares1
    • Introduction to Data Science - 2020 - Semester 11
    • Isabella Velásquez1
    • JD Long1
    • Jacques van Helden1
    • Jemma Stachelek1
    • Joachim Goedhart1
    • Julien Roux1
    • Kristyna Kupkova1
    • Laboratory of Genomics and Bioinformatics1
    • Leonardo Collado-Torres1
    • Marek Gagolewski1
    • Master of Environmental Data Science (MEDS) program1
    • Matthew B. Jané1
    • Max Planck Institute of Immunobiology and Epigenetics1
    • Melbourne Bioinformatics1
    • Michael Teske1
    • Michelle Brazas1
    • Mike Lee1
    • Modern Data Science with R1
    • ModernDive1
    • Monash Data Fluency1
    • Måns Thulin1
    • Show N_FILTERS more
    • Contributor
    • Meeta Mistry5
    • Will Gammerdinger5
    • hwick5
    • Elizabeth Partan4
    • Jihe Liu4
    • Radhika Khetani4
    • marypiper3
    • Amélie Julé2
    • Ilya Sytchev2
    • Upen Bhattarai2
    • eberdan2
    • msimoneau2
    • Noor Sohail1
    • Rory Kirchner1
    • Serhiy Naumenko1
    • Show N_FILTERS more
    • Node
    • Switzerland5
    • 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

Keywords: R

and Competency level: Not specified

and Authors: Teaching materials at the Harvard Chan Bioinformatics Core

5 materials found
  • hbctraining/Tools-for-reproducible-research

    ELIXIR node event
    R markdown Reproducibility Version control R Rmarkdown
  • hbctraining/Intro-to-peak-analysis

    ELIXIR node event
    ChIP-seq Enrichment analysis ChIP-seq ATAC-seq Enrichment analysis R
  • hbctraining/publication_perfect

    ELIXIR node event
    Data visualisation Data visualization R
  • hbctraining/Intro-to-R-flipped

    ELIXIR node event
    R script R
  • hbctraining/Training-modules

    ELIXIR node event
    FAIR data Transcriptomics R markdown Enrichment analysis Data visualisation Variant pattern analysis RNA-Seq General Python 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.