Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • Spaces
  • Events
  • Materials
  • Workflows
  • Collections
  • e-Learning
  • Learning paths
  • Directory
    • Providers
    • Nodes

TeSSHub makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSSHub 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
    • MicroRNA sequencing7
    • RNA sequencing7
    • RNA-Seq7
    • RNA-Seq analysis7
    • Small RNA sequencing7
    • Small RNA-Seq7
    • Small-Seq7
    • Transcriptome profiling7
    • WTSS7
    • Whole transcriptome shotgun sequencing7
    • miRNA-seq7
    • Show N_FILTERS more
    • Content provider
    • NGS Registry8
    • Show N_FILTERS more
    • Keyword
    • R332
    • Genomics169
    • Transcriptomics161
    • Python150
    • RNA-seq128
    • Next generation sequencing119
    • Data management104
    • Bioinformatics99
    • Statistics80
    • FAIR data79
    • FAIR70
    • Reproducibility69
    • Galaxy Server administration68
    • Machine learning68
    • Data science67
    • Unix/Linux62
    • Single-cell sequencing61
    • Proteomics56
    • Workflows56
    • jupyter-notebook55
    • Version control53
    • Data visualization52
    • Foundations of Data Science51
    • Variant analysis50
    • biodiversity48
    • data management48
    • metagenomics47
    • Statistics and machine learning46
    • Development in Galaxy45
    • Genome assembly43
    • Single Cell42
    • Galaxy41
    • microgalaxy41
    • Metagenomics39
    • training39
    • General36
    • Genome annotation36
    • Rare Diseases & Research36
    • QC33
    • Genome Annotation32
    • Microbiome32
    • Nextflow32
    • FAIR Data, Workflows, and Research31
    • Ecology30
    • programming30
    • Assembly28
    • Contributing to the Galaxy Training Material28
    • FAIR principles28
    • Genome28
    • Metadata28
    • Molecular28
    • Using Galaxy and Managing your Data28
    • Alignment27
    • Data analysis27
    • Phylogenetics27
    • biohackaton 201827
    • Epigenetics26
    • Long read sequencing26
    • RDM26
    • bioinformatics26
    • Docker25
    • Data reuse24
    • High performance computing24
    • Annotation23
    • Containerization23
    • Metabolomics23
    • data stewardship23
    • ChIP-seq22
    • Microbiology22
    • Shiny22
    • Spatial transcriptomics22
    • FAIR Data21
    • Imaging21
    • NGS21
    • Open Science21
    • RNA-Seq21
    • ansible21
    • metadata21
    • reproducible research21
    • Artificial intelligence20
    • BAM20
    • FASTQ20
    • Research Data Management20
    • life-sciences20
    • sensitive data19
    • 3D BioInfo Community19
    • CfRR19
    • Cloud computing19
    • Differential-expression19
    • Pre-processing19
    • REDCap19
    • Sequence analysis19
    • Variant Analysis19
    • git-gat19
    • scientific computing19
    • Comparative genomics18
    • Data sharing18
    • Programming18
    • interactive-tools18
    • transcriptomics18
    • Show N_FILTERS more
    • Competency level
    • Not specified8
    • Show N_FILTERS more
    • Licence
    • License Not Specified8
    • Show N_FILTERS more
    • Author
    • Bastian Schiffthaler @bastian5
    • Nicolas Delhomme @delhomme5
    • @bastian1
    • @delhomme1
    • Albrectsen B.1
    • Frederik Coppens @frcop1
    • Hvidsten T. R.1
    • Ingvarsson P. K.1
    • Jansson S.1
    • Mähler N.1
    • Oenskog J.1
    • Robinson K.1
    • Street N. R.1
    • Show N_FILTERS more
    • Node
    • United Kingdom8
    • Show N_FILTERS more
  • Show materials from all spaces
  • Hide disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email
  • Harvest using OAI-PMH

Email Subscription

Harvest using OAI-PMH

Exchange content using OAI-PMH

Use an OAI-PMH compatible tool to harvest metadata using the OAI-PMH endpoint. In particular, this endpoint can be used for exchanging content between different TeSS instances. See the TeSS documentation for more details.

Register training material

Keywords: GFF3

and Include disabled: true

and Include broken links: true

8 materials found
  • Nicolas Delhomme and Bastian Schiffthaler

    ELIXIR node event
    RNA-Seq FASTQ GFF3 BAM Populus-tremula RNA-Seq Pre-processing QC Alignment Annotation …
  • Expression estimation

    ELIXIR node event
    RNA-Seq GFF3 BAM Populus-tremula RNA-Seq Expression-estimation
  • Tutorial

    ELIXIR node event
    RNA-Seq FASTQ GFF3 BAM Populus-tremula RNA-Seq Pre-processing QC Alignment Annotation …
  • Populus tremula shows no evidence of sexual dimorphism

    ELIXIR node event
    RNA-Seq FASTQ GFF3 BAM Populus-tremula RNA-Seq Pre-processing QC Alignment Annotation …
  • Nicolas Delhomme - Bastian Schiffthaler - October 2014 EMBO course material

    ELIXIR node event
    RNA-Seq FASTQ GFF3 BAM Populus-tremula RNA-Seq Pre-processing QC Alignment Annotation …
  • Annotation

    ELIXIR node event
    RNA-Seq GFF3 Populus-tremula RNA-Seq Annotation
  • EMBO High Throughput Sequencing Data Analysis, Cambridge, UK, 2014

    ELIXIR node event
    RNA-Seq FASTQ GFF3 BAM Populus-tremula RNA-Seq Pre-processing QC Alignment Annotation …
  • NGS introduction to file formats

    ELIXIR node event
    HTS-introduction FASTQ BAM VCF WIG CRAM GFF3
Training eSupport System
[email protected]
Contribute
About TeSSHub
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSSHub has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.