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

    • Content provider
    • IFB French Institute of Bioinformatics1
    • Show N_FILTERS more
    • Keyword
    • Data analysis
    • Bioinformatics6
    • Python4
    • Programming3
    • Python biologists3
    • data management3
    • metadata3
    • CWL2
    • EeLP2
    • FAIR2
    • Nextflow2
    • Protein identification2
    • Reproducible Science2
    • Workflows2
    • bioinformatics2
    • commonwl2
    • data sharing2
    • eLearning2
    • linked data2
    • R-programming1
    • RNA-Seq1
    • Variant-calling1
    • Allbio1
    • Biopython1
    • Computational modelling1
    • Containers1
    • DES1
    • DSL21
    • Data Life Cycle1
    • Data Science1
    • Data management plan1
    • Data preserving1
    • Data processing1
    • Data publishing1
    • Data storage1
    • Farm animals1
    • Findability of data and code1
    • Identifying data and code1
    • Javascript1
    • Mass spectrometry1
    • NGS bioinformatics1
    • Next generation sequencing1
    • Ngs1
    • Ngs bioinformatics1
    • Open science1
    • PID metadata1
    • Persistent Identifiers1
    • Protein Mass Spectrometry1
    • Python API pyhandle1
    • Qtl1
    • Record parsing1
    • Referencing data and code1
    • Reproducibility1
    • Rnaseq1
    • Single Cell technologies1
    • Structural variations1
    • Transcription factors1
    • Wikidata1
    • common workflow language1
    • coronavirus1
    • data 1
    • data annotation1
    • data reuse1
    • data stewardship1
    • data visualization1
    • data warehouse1
    • data-driven modeling1
    • discrete-event simulation1
    • legal framework1
    • licensing1
    • life science standards1
    • object-oriented programming1
    • ontologies1
    • scRNA-seq1
    • system relevant metadata for data1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • GNU General Public License v3.0 only1
    • Show N_FILTERS more
    • Target audience
    • bioinformaticians
    • PhD candidate8
    • Researchers3
    • Bioinformaticians2
    • Anyone1
    • Life Science Researchers1
    • Life scientists1
    • PhD1
    • PhD candidates1
    • computational scientists1
    • life scientists1
    • postdocs1
    • software developers, bioinformaticians1
    • software engineers1
    • Show N_FILTERS more
    • Author
    • Claire Toffano-Nioche1
    • Céline Hernandez1
    • Gildas Le Corguillé1
    • Julien Seiler1
    • Thomas Denecker1
    • Show N_FILTERS more
    • Contributor
    • Hélène Chiapello1
    • Show N_FILTERS more
    • Resource type
    • Training materials1
    • Show N_FILTERS more
    • Node
    • France1
    • 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

Keywords: Data analysis

and Target audience: bioinformaticians

1 material found
  • Training materials

    FAIR principles applied to bioinformatics

    ELIXIR node event
    •• intermediate
    FAIR Reproducible Science Open science Data analysis Data processing
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.