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
    • Transcriptomics
    • Comparative transcriptomics43
    • Transcriptome43
    • Exomes37
    • Genome annotation37
    • Genomes37
    • Genomics37
    • Personal genomics37
    • Synthetic genomics37
    • Viral genomics37
    • Whole genomes37
    • Biodiversity35
    • Algorithms34
    • Computer programming34
    • Data structures34
    • Programming languages34
    • Software development34
    • Software engineering34
    • Biological sequences33
    • Metagenomics33
    • Sequence analysis33
    • Sequence databases33
    • Shotgun metagenomics33
    • Computational ecology30
    • Ecoinformatics30
    • Ecological informatics30
    • Ecology30
    • Ecosystem science30
    • Bayesian methods29
    • Biostatistics29
    • Community analysis29
    • Descriptive statistics29
    • Environmental microbiology29
    • Gaussian processes29
    • Inferential statistics29
    • Markov processes29
    • Microbial ecology29
    • Microbiome29
    • Molecular community analysis29
    • Multivariate statistics29
    • Probabilistic graphical model29
    • Probability29
    • Statistics29
    • Statistics and probability29
    • Assembly23
    • Sequence assembly23
    • Bottom-up proteomics21
    • Discovery proteomics21
    • MS-based targeted proteomics21
    • MS-based untargeted proteomics21
    • Metaproteomics21
    • Peptide identification21
    • Protein and peptide identification21
    • Proteomics21
    • Quantitative proteomics21
    • Targeted proteomics21
    • Top-down proteomics21
    • Antimicrobial stewardship19
    • Medical microbiology19
    • Microbial genetics19
    • Microbial physiology19
    • Microbial surveillance19
    • Microbiological surveillance19
    • Microbiology19
    • Molecular infection biology19
    • Molecular microbiology19
    • Taxonomy15
    • Data management13
    • Epigenomics13
    • Metadata management13
    • Open science13
    • Research data management (RDM)13
    • FAIR data12
    • Findable, accessible, interoperable, reusable data12
    • DNA variation11
    • Diffraction experiment11
    • Genetic variation11
    • Genomic variation11
    • Imaging11
    • Microscopy11
    • Microscopy imaging11
    • Mutation11
    • Optical super resolution microscopy11
    • Photonic force microscopy11
    • Photonic microscopy11
    • Polymorphism11
    • Somatic mutations11
    • Evolution8
    • Evolutionary biology8
    • DNA metabarcoding7
    • Environmental metabarcoding7
    • Exometabolomics7
    • LC-MS-based metabolomics7
    • MS-based metabolomics7
    • MS-based targeted metabolomics7
    • MS-based untargeted metabolomics7
    • Mass spectrometry-based metabolomics7
    • Metabarcoding7
    • Metabolites7
    • Metabolome7
    • Show N_FILTERS more
    • Tool
    • Galaxy34
    • MultiQC5
    • SAMtools5
    • STAR5
    • DESeq24
    • FastQC4
    • SCANPY4
    • Salmon4
    • BEDTools3
    • Biopython3
    • Falco3
    • GOseq3
    • HISAT23
    • RSeQC3
    • anndata3
    • ggplot23
    • Cutadapt2
    • DeepTools2
    • DropletUtils2
    • Heinz2
    • R2
    • Targetfinder.org2
    • Trim Galore2
    • Trimmomatic2
    • UMI-tools2
    • miRDeep22
    • Alevin1
    • ChiRA1
    • EGSEA1
    • FeatureCounts1
    • GOEnrichment1
    • IsoformSwitchAnalyzeR1
    • MEME1
    • MuSiC suite: PoPMuSiC, HoTMuSiC, and SNPMuSiC1
    • Peakachu1
    • PfamScan1
    • RCAS1
    • StringTie1
    • Subread1
    • Trinity1
    • annotatemyids1
    • blockbuster1
    • fastp1
    • fgsea1
    • gffcompare1
    • gffread1
    • pathview1
    • pyGenomeTracks1
    • rnaQUAST1
    • Show N_FILTERS more
    • Content provider
    • GTN43
    • Show N_FILTERS more
    • Keyword
    • Transcriptomics27
    • Single Cell16
    • paper-replication6
    • MIGHTS5
    • mouse4
    • work-in-progress4
    • QC3
    • collections3
    • 10x2
    • bulk2
    • plants2
    • rna-seq2
    • PCA1
    • clustering1
    • cyoa1
    • deutsch1
    • drosophila1
    • español1
    • interactive-tools1
    • italiano1
    • jupyter-notebook1
    • limma-voom1
    • metatranscriptomics1
    • miRNA1
    • network analysis1
    • stress tolerance1
    • transcriptomics1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Intermediate4
    • Not specified2
    • Advanced1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International43
    • Show N_FILTERS more
    • Target audience
    • Students
    • Biologists interested in learning about RNA-seq1
    • Show N_FILTERS more
    • Author
    • Mehmet Tekman11
    • Pavankumar Videm8
    • Maria Doyle7
    • Bérénice Batut6
    • Wendi Bacon5
    • Cristóbal Gallardo4
    • Alex Ostrovsky3
    • Anika Erxleben3
    • Anthony Bretaudeau3
    • Belinda Phipson3
    • Mallory Freeberg3
    • Andrea Bagnacani2
    • Anne Siegel2
    • Beatriz Serrano-Solano2
    • Chao Zhang2
    • Hans-Rudolf Hotz2
    • Harriet Dashnow2
    • Julia Jakiela2
    • Mateo Boudet2
    • Mo Heydarian2
    • Nicola Soranzo2
    • Olivier Dameron2
    • Xavier Garnier2
    • Anna Trigos1
    • Anton Nekrutenko1
    • Casper de Visser1
    • Charity Law1
    • Charlotte Adang1
    • Clemens Blank1
    • Daniel Blankenberg1
    • Daniel Maticzka1
    • Diana Chiang Jurado1
    • Erwan Corre1
    • Florian Heyl1
    • Fotis E. Psomopoulos1
    • Gildas Le Corguillé1
    • Graham Etherington1
    • IGC Bioinformatics Unit1
    • Jonathan Manning1
    • Jovana Maksimovic1
    • Lucille Delisle1
    • Markus Wolfien1
    • Matt Ritchie1
    • Peter van Heusden1
    • Peter-Bram 't Hoen1
    • Sanne Abeln1
    • Shian Su1
    • Sofoklis Keisaris1
    • Toby Hodges1
    • Wolfgang Maier1
    • Xi Liu1
    • Show N_FILTERS more
    • Contributor
    • Helena Rasche40
    • Saskia Hiltemann37
    • Björn Grüning34
    • Nicola Soranzo18
    • Bérénice Batut17
    • Mehmet Tekman17
    • Pavankumar Videm13
    • Wendi Bacon12
    • Anthony Bretaudeau9
    • Cristóbal Gallardo9
    • Gildas Le Corguillé8
    • Lucille Delisle7
    • Niall Beard7
    • Maria Doyle6
    • Martin Čech6
    • Julia Jakiela5
    • William Durand5
    • Armin Dadras4
    • Beatriz Serrano-Solano4
    • Mallory Freeberg4
    • Simon Bray4
    • Amirhossein Naghsh Nilchi3
    • Hans-Rudolf Hotz3
    • Marisa Loach3
    • Marius van den Beek3
    • Pablo Moreno3
    • Stéphanie Robin3
    • Teresa Müller3
    • Xavier Garnier3
    • Andrea Bagnacani2
    • CicoZhang2
    • David López2
    • Florian Heyl2
    • Jonathan Manning2
    • Matthias Bernt2
    • Morgan Howells2
    • Nate Coraor2
    • Wolfgang Maier2
    • Anika Erxleben1
    • Anne Fouilloux1
    • Clea Siguret1
    • Clemens Blank1
    • Diana Chiang Jurado1
    • Donny Vrins1
    • Ekaterina Polkh1
    • Fotis E. Psomopoulos1
    • Graeme Tyson1
    • Graham Etherington1
    • IGC Bioinformatics Unit1
    • James Taylor1
    • Mateusz Kuzak1
    • Mo Heydarian1
    • Mohua Das1
    • Mélanie Petera1
    • Peter-Bram 't Hoen1
    • Sofoklis Keisaris1
    • The Carpentries1
    • Show N_FILTERS more
    • Resource type
    • e-learning34
    • slides9
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets39
    • Associated Workflows33
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • 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: Transcriptomics

and Competency level: Beginner

and Target audience: Students

43 materials found
  • e-learning

    RNA-Seq data analysis, clustering and visualisation tutorial

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

    RNA-seq Alignment with STAR

    • Beginner
    Transcriptomics Transcriptomics
  • slides

    Identification of non-canonical ORFs and their potential biological function

    • Beginner
    Transcriptomics Transcriptomics
  • slides

    Whole transcriptome analysis of Arabidopsis thaliana

    • Beginner
    Transcriptomics Transcriptomics
  • slides

    Introduction to Transcriptomics

    • Beginner
    Transcriptomics Transcriptomics
  • e-learning

    Inferring single cell trajectories with Monocle3

    • Beginner
    Transcriptomics MIGHTS Single Cell paper-replication
  • e-learning

    Combining single cell datasets after pre-processing

    • Beginner
    Transcriptomics MIGHTS Single Cell paper-replication
  • e-learning

    Inferring single cell trajectories with Scanpy (Python)

    • Beginner
    Transcriptomics MIGHTS Single Cell jupyter-notebook paper-replication
  • e-learning

    RNA-RNA interactome data analysis

    • Beginner
    Transcriptomics Transcriptomics
  • e-learning

    RNA-Seq analysis with AskOmics Interactive Tool

    • Beginner
    Transcriptomics Transcriptomics
  • 1
  • 2
  • 3
  • 4
  • 5
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.