Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

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
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Comparative transcriptomics18
    • Transcriptome18
    • Transcriptomics18
    • Show N_FILTERS more
    • Tool
    • Galaxy18
    • SAMtools4
    • BEDTools3
    • Cutadapt3
    • FastQC3
    • GOseq3
    • HISAT23
    • MultiQC3
    • RSeQC3
    • STAR3
    • ggplot23
    • DESeq22
    • DeepTools2
    • Heinz2
    • R2
    • Salmon2
    • Trimmomatic2
    • pyGenomeTracks2
    • Biopython1
    • ChiRA1
    • EGSEA1
    • Falco1
    • FeatureCounts1
    • GOEnrichment1
    • IsoformSwitchAnalyzeR1
    • MEME1
    • Peakachu1
    • PfamScan1
    • RCAS1
    • StringTie1
    • Subread1
    • Targetfinder.org1
    • Trinity1
    • UMI-tools1
    • annotatemyids1
    • blockbuster1
    • fastp1
    • fgsea1
    • gffcompare1
    • gffread1
    • miRDeep21
    • pathview1
    • rnaQUAST1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training18
    • Show N_FILTERS more
    • Keyword
    • Transcriptomics
    • Single Cell28
    • microgalaxy27
    • biodiversity25
    • Proteomics23
    • Statistics and machine learning20
    • Ecology19
    • Microbiome15
    • Assembly13
    • Genome Annotation13
    • Epigenetics11
    • Imaging10
    • Climate9
    • Sequence analysis9
    • Variant Analysis9
    • label-free9
    • prokaryote9
    • Introduction to Galaxy Analyses8
    • plants8
    • EBV dataset7
    • EBV workflow7
    • earth-system7
    • paper-replication7
    • DDA6
    • MIGHTS6
    • assembly6
    • data management6
    • gmod6
    • interactive-tools6
    • jbrowse16
    • nanopore6
    • transcriptomics6
    • illumina5
    • label-TMT115
    • mouse5
    • ocean5
    • work-in-progress5
    • 10x4
    • 16S4
    • Genetic composition EBV class4
    • QC4
    • bacteria4
    • bioimaging4
    • metabarcoding4
    • metagenomics4
    • pangeo4
    • ChIP-seq3
    • Metabolomics3
    • RAD-seq3
    • Synthetic Biology3
    • Using Galaxy and Managing your Data3
    • amr3
    • collections3
    • cyoa3
    • data import3
    • eukaryote3
    • gbif3
    • metatranscriptomics3
    • modeling3
    • one-health3
    • Community composition EBV class2
    • HeLa2
    • Species population EBV class2
    • Species populations EBV class2
    • bulk2
    • climate2
    • covid192
    • ecology2
    • essential genes2
    • human2
    • marine omics2
    • rna-seq2
    • taxonomic data2
    • virology2
    • AI1
    • CRISPR1
    • Computational chemistry1
    • Contributing to the Galaxy Training Material1
    • DIA1
    • Digital Humanities1
    • EBV workflowz1
    • Ecosystem EBV class1
    • Evolution1
    • Foundations of Data Science1
    • GO enrichment1
    • Heatmap1
    • Machine learning1
    • Marine ecosystems1
    • Materials Science1
    • Metabarcoding1
    • NDVI1
    • Nanopore data analysis1
    • PCA1
    • Pan-cancer1
    • Pathogens detection1
    • Phylogenetic tree1
    • RNA1
    • Remote sensing1
    • Species traits EBV class1
    • TMT1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Advanced1
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International18
    • Show N_FILTERS more
    • Target audience
    • Students18
    • Show N_FILTERS more
    • Author
    • Maria Doyle7
    • Pavankumar Videm4
    • Belinda Phipson3
    • Mallory Freeberg3
    • Bérénice Batut2
    • Chao Zhang2
    • Cristóbal Gallardo2
    • Harriet Dashnow2
    • Mo Heydarian2
    • Anika Erxleben1
    • Anna Trigos1
    • Anthony Bretaudeau1
    • Beatriz Serrano-Solano1
    • Casper de Visser1
    • Charity Law1
    • Charlotte Adang1
    • Clemens Blank1
    • Daniel Maticzka1
    • Erwan Corre1
    • Florian Heyl1
    • Gildas Le Corguillé1
    • IGC Bioinformatics Unit1
    • Jovana Maksimovic1
    • Lucille Delisle1
    • Matt Ritchie1
    • Nicola Soranzo1
    • Peter van Heusden1
    • Peter-Bram 't Hoen1
    • Sanne Abeln1
    • Shian Su1
    • Xi Liu1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann16
    • Helena Rasche15
    • Björn Grüning14
    • Nicola Soranzo10
    • Bérénice Batut7
    • Gildas Le Corguillé6
    • Cristóbal Gallardo5
    • Maria Doyle5
    • Lucille Delisle4
    • Niall Beard4
    • Pavankumar Videm3
    • William Durand3
    • Armin Dadras2
    • CicoZhang2
    • Mallory Freeberg2
    • Marius van den Beek2
    • Mehmet Tekman2
    • Wolfgang Maier2
    • Amirhossein Naghsh Nilchi1
    • Anika Erxleben1
    • Anthony Bretaudeau1
    • Beatriz Serrano-Solano1
    • Clea Siguret1
    • Clemens Blank1
    • Ekaterina Polkh1
    • Florian Heyl1
    • Graeme Tyson1
    • Hans-Rudolf Hotz1
    • IGC Bioinformatics Unit1
    • James Taylor1
    • Martin Čech1
    • Mo Heydarian1
    • Nate Coraor1
    • Peter-Bram 't Hoen1
    • Simon Bray1
    • Teresa Müller1
    • Xavier Garnier1
    • Show N_FILTERS more
    • Resource type
    • e-learning16
    • slides2
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows
    • Associated Training Datasets23
    • Quarto/RMarkdown Notebook2
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Difficulty level: Beginner

and Related resources: Associated Workflows

and Keywords: Transcriptomics

18 materials found
  • e-learning

    RNA-Seq data analysis, clustering and visualisation tutorial

    • beginner
    Transcriptomics PCA bulk clustering collections mouse rna-seq work-in-progress
  • e-learning

    Network analysis with Heinz

    • beginner
    Transcriptomics metatranscriptomics network analysis
  • e-learning

    1: RNA-Seq reads to counts

    • beginner
    Transcriptomics QC collections mouse
  • e-learning

    2: RNA-seq counts to genes

    • beginner
    Transcriptomics QC limma-voom mouse
  • e-learning

    3: RNA-seq genes to pathways

    • beginner
    Transcriptomics mouse
  • e-learning

    GO Enrichment Analysis

    • beginner
    Transcriptomics
  • e-learning

    RNA-RNA interactome data analysis

    • beginner
    Transcriptomics
  • e-learning

    De novo transcriptome assembly, annotation, and differential expression analysis

    • beginner
    Transcriptomics
  • e-learning

    Visualization of RNA-Seq results with heatmap2

    • beginner
    Transcriptomics
  • e-learning

    CLIP-Seq data analysis from pre-processing to motif detection

    • beginner
    Transcriptomics
  • 1
  • 2
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
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.