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
    • Comparative transcriptomics11
    • MicroRNA sequencing11
    • RNA sequencing11
    • RNA-Seq11
    • RNA-Seq analysis11
    • Small RNA sequencing11
    • Small RNA-Seq11
    • Small-Seq11
    • Transcriptome11
    • Transcriptome profiling11
    • Transcriptomics11
    • WTSS11
    • Whole transcriptome shotgun sequencing11
    • miRNA-seq11
    • Chromosome walking9
    • Clone verification9
    • DNA-Seq9
    • DNase-Seq9
    • High throughput sequencing9
    • High-throughput sequencing9
    • NGS9
    • NGS data analysis9
    • Next gen sequencing9
    • Next generation sequencing9
    • Panels9
    • Primer walking9
    • Sanger sequencing9
    • Sequencing9
    • Targeted next-generation sequencing panels9
    • ChIP-exo5
    • ChIP-seq5
    • ChIP-sequencing5
    • Chip Seq5
    • Chip sequencing5
    • Chip-sequencing5
    • Enrichment3
    • Enrichment analysis3
    • Functional enrichment3
    • Over-representation analysis3
    • R markdown3
    • Variant pattern analysis3
    • Data rendering2
    • Data visualisation2
    • FAIR data2
    • Findable, accessible, interoperable, reusable data2
    • Single-cell genomics2
    • Single-cell sequencing2
    • Bayesian methods1
    • Biostatistics1
    • Descriptive statistics1
    • Exomes1
    • Gaussian processes1
    • Genome annotation1
    • Genomes1
    • Genomics1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Personal genomics1
    • Probabilistic graphical model1
    • Probability1
    • R1
    • R program1
    • R script1
    • Statistics1
    • Statistics and probability1
    • Synthetic genomics1
    • Viral genomics1
    • Whole genomes1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org25
    • Show N_FILTERS more
    • Keyword
    • RNA-seq11
    • Transcriptomics11
    • Next generation sequencing9
    • R7
    • ChIP-seq5
    • Enrichment analysis3
    • Rmarkdown3
    • Unix/Linux3
    • Variant analysis3
    • Version control3
    • ATAC-seq2
    • Data visualization2
    • FAIR data2
    • Reproducibility2
    • Single-cell sequencing2
    • General1
    • Genomics1
    • Python1
    • Statistics1
    • Show N_FILTERS more
    • Competency level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • License Not Specified21
    • Creative Commons Zero v1.0 Universal4
    • Show N_FILTERS more
    • Author
    • Teaching materials at the Harvard Chan Bioinformatics Core
    • Martin Morgan97
    • The Carpentries Incubator52
    • SIB Swiss Institute of Bioinformatics42
    • bioinformatics.ca35
    • bebatut32
    • bgruening32
    • Michelle Brazas21
    • NBIS - National Bioinformatics Infrastructure Sweden20
    • posit-conf-202320
    • Coding for Reproducible Research Initiative19
    • Saskia Lawson-Tovey19
    • The Gulbenkian Training Programme in Bioinformatics19
    • Terri Attwood18
    • UC Davis Bioinformatics Core Training Page18
    • András Aszódi17
    • Data Carpentry17
    • posit::conf(2024)17
    • shiltemann17
    • Samaha, Georgina15
    • nekrut14
    • CRUK CI Bioinformatics Core13
    • Jenny Drnevich @jenny12
    • Laura Cooper11
    • Mathieu Bourgey11
    • Various11
    • Canadian Bioinformatics Workshops10
    • Fred Hutch Data Science Lab10
    • Paul Yorke10
    • Bérénice Batut9
    • David Wishart9
    • ELIXIR Estonia9
    • Jared Simpson9
    • allegra.via Via9
    • rstudio::conf(2022)9
    • Bastian Schiffthaler @bastian8
    • Boris Steipe8
    • Egon Willighagen8
    • Malachi Griffith8
    • Nicolas Delhomme @delhomme8
    • Sundeep Agarwal8
    • pajanne8
    • Biocore@CRG7
    • Bioinformatics, Rockefeller University7
    • Maria Levchenko7
    • Saskia Hiltemann7
    • Sergio Martínez Cuesta7
    • Vincent Carey7
    • Wolfgang Huber7
    • joachimwolff7
    • nsoranzo7
    • stortebecker7
    • Andrew Mason6
    • Anna Poetsch6
    • BU-ISCIII6
    • Beecroft, Sarah6
    • Bernardo Clavijo6
    • Deshpande, Nandan6
    • JuliaAcademy6
    • Levi Waldron6
    • Michael Lawrence6
    • Michael Love6
    • Richard Smith-Unna6
    • Simon Anders6
    • Software Carpentry6
    • VIB Training & Conferences6
    • Williams, Sarah6
    • erasche6
    • erxleben6
    • jmchilton6
    • slugger706
    • tnabtaf6
    • Aidan Budd5
    • Alexander Botzki5
    • Brian Haas5
    • Dayane Araujo5
    • ELIXIR Europe Training5
    • Eija Korpelainen5
    • Emma Karoune5
    • Fouad Yousif5
    • Gary Bader5
    • Guillaume Bourque5
    • Gustafsson, Johan5
    • Hadley Wickham5
    • Health Data Science Sandbox5
    • Jessica Kirkpatrick [email protected]5
    • Laurent Gatto5
    • Lori Shepherd5
    • Manuel Corpas5
    • MolSSI Education5
    • Patricia Palagi5
    • Radhika Khetani @radhika5
    • Robin Haw5
    • Sonali Arora5
    • The Carpentries Lab5
    • Willet, Cali5
    • blankclemens5
    • cambiotraining5
    • jhudsl5
    • yvanlebras5
    • Show N_FILTERS more
    • Contributor
    • Will Gammerdinger16
    • Meeta Mistry15
    • Radhika Khetani15
    • Jihe Liu11
    • marypiper10
    • hwick9
    • Teaching materials at the Harvard Chan Bioinformatics Core8
    • Amélie Julé7
    • Elizabeth Partan7
    • Ilya Sytchev5
    • eberdan5
    • msimoneau5
    • Noor Sohail4
    • Upen Bhattarai4
    • Darío Hereñú2
    • Chris Fields1
    • Rory Kirchner1
    • Sarah Boswell1
    • Serhiy Naumenko1
    • kew241
    • Show N_FILTERS more
    • Node
    • Switzerland25
    • 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

Competency level: Not specified

and Authors: Teaching materials at the Harvard Chan Bioinformatics Core

and Include broken links: true

25 materials found
  • hbctraining/Intro-to-bulk-RNAseq

    ELIXIR node event
    RNA-Seq Transcriptomics Transcriptomics RNA-seq
  • hbctraining/Intro-to-scRNAseq

    ELIXIR node event
    Single-cell sequencing RNA-Seq Transcriptomics Single-cell sequencing Transcriptomics RNA-seq
  • 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/Intro-to-variant-analysis

    ELIXIR node event
    Sequencing Variant pattern analysis Variant analysis Next generation sequencing
  • hbctraining/Shell-for-bioinformatics

    ELIXIR node event
    Unix/Linux
  • hbctraining/Investigating-chromatin-biology-ChIPseq

    ELIXIR node event
    ChIP-seq Sequencing ChIP-seq Next generation sequencing
  • hbctraining/Intro-to-DGE

    ELIXIR node event
    RNA-Seq Transcriptomics Transcriptomics RNA-seq
  • hbctraining/BBS230B_2023

    ELIXIR node event
    Sequencing Transcriptomics RNA-Seq RNA-seq Next generation sequencing Transcriptomics
  • hbctraining/RNA-seq-CB321qc_2022

    ELIXIR node event
    Sequencing Transcriptomics RNA-Seq RNA-seq Transcriptomics Next generation sequencing
  • 1
  • 2
  • 3
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.