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
    • Data management5
    • Metadata management5
    • Research data management (RDM)5
    • Bioinformatics4
    • Algorithms2
    • Computer programming2
    • Data structures2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • Personal genomics2
    • Programming languages2
    • Software development2
    • Software engineering2
    • Synthetic genomics2
    • Viral genomics2
    • Whole genomes2
    • Aerobiology1
    • Behavioural biology1
    • Biological rhythms1
    • Biological science1
    • Biology1
    • Chronobiology1
    • Cloud computing1
    • Computer science1
    • Cryobiology1
    • DNA polymorphism1
    • Data analysis1
    • Data architecture1
    • Data architecture, analysis and design1
    • Data archival1
    • Data archiving1
    • Data curation1
    • Data curation and archival1
    • Data design1
    • Data preservation1
    • Database curation1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Microsatellites1
    • Pipelines1
    • RFLP1
    • Reproductive biology1
    • Research data archiving1
    • SNP1
    • Single nucleotide polymorphism1
    • Software integration1
    • Tool integration1
    • Tool interoperability1
    • VNTR1
    • Variable number of tandem repeat polymorphism1
    • Workflows1
    • snps1
    • Show N_FILTERS more
    • Operation
    • Data handling2
    • File handling2
    • File processing2
    • Processing2
    • Report handling2
    • Utility operation2
    • Data brokering1
    • Data deposition1
    • Data deposition brokering1
    • Data extraction1
    • Data management planning1
    • Data retrieval1
    • Data retrieval (metadata)1
    • Data submission1
    • Database deposition1
    • Database retrieval1
    • Database submission1
    • Metadata retrieval1
    • Query1
    • Query and retrieval1
    • Retrieval1
    • Show N_FILTERS more
    • Tool
    • Data Stewardship Wizard1
    • European Nucleotide Archive (ENA)1
    • Ontology Lookup Service1
    • RDMkit1
    • SEEK1
    • SRA1
    • Show N_FILTERS more
    • Standard database or policy
    • European Nucleotide Archive1
    • FAIRsharing1
    • Show N_FILTERS more
    • Content provider
    • ELIXIR Estonia3
    • University of Edinburgh2
    • Cloud-SPAN1
    • ELIXIR Norway1
    • Software Sustainability Institute1
    • de.NBI1
    • Show N_FILTERS more
    • Keyword
    • Data Management3
    • Bioinformatics2
    • Cloud computing2
    • Command line2
    • Data analysis2
    • FAIR2
    • HPC2
    • Licensing2
    • Metadata2
    • Open Science2
    • Python2
    • Shell2
    • Amazon Web Services1
    • Backup strategy1
    • Copyright1
    • Creative Commons1
    • DMP1
    • Data Analysis1
    • Data Life Cycle1
    • Data Management Plan1
    • FAIR Data1
    • FAIR Research1
    • File naming1
    • File organisation1
    • File structure1
    • GDPR1
    • Genomics1
    • High performance computing1
    • Notion1
    • Programming1
    • Python biologists1
    • README1
    • Repositories1
    • Reproducibility1
    • Sensitive data1
    • Sequence Analysis1
    • Software1
    • Standards1
    • Tidy data1
    • Versioning1
    • bioinformatics1
    • genomics1
    • personal data1
    • productivity1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Advanced1
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International8
    • Creative Commons Attribution No Derivatives 4.0 International1
    • License Not Specified1
    • MIT License1
    • Show N_FILTERS more
    • Target audience
    • PhD Students
    • Students424
    • Galaxy Administrators111
    • Researchers50
    • Instructors49
    • PhD candidate26
    • Biologists25
    • Life Science Researchers22
    • Data stewards21
    • PhD candidates20
    • Bioinformaticians17
    • Data Scientist16
    • Data managers16
    • Scientists16
    • bioinformaticians14
    • Data Managers13
    • PhD students13
    • Data Scientists11
    • Researcher in life sciences10
    • Researcher9
    • Clinicians8
    • Research Scientists8
    • Beginner7
    • Bench biologists7
    • Biomedical Researchers7
    • Computational biologists7
    • Life scientists7
    • Master students7
    • biologists7
    • Biomedical researchers6
    • Trainers6
    • Chemists5
    • data stewards5
    • modelers5
    • Anyone wishing to use bioinformatics resources to find basic information about a virus.4
    • Biologists with little or no prior computational experience4
    • Laboratory technicians4
    • PI4
    • Scientific community4
    • Training Designers4
    • Training instructors4
    • Veterinarians4
    • Academia/ Research Institution3
    • Beginners3
    • Bioinformatician3
    • Bioinformatician, Bioanalysts3
    • Biologists, Genomicists, Computer Scientists3
    • Curators3
    • Data Steward3
    • Healthcare3
    • Industry3
    • Non-Profit Organisation3
    • Post Docs3
    • beginner bioinformaticians3
    • biocurators3
    • data steward / data manager3
    • life scientists3
    • project manager3
    • researchers3
    • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
    • Bioinformaticians, Biologists with little or no prior computational experience.2
    • Clinical Scientists2
    • Data Manager2
    • Database users2
    • Graduate Students2
    • Graduate students2
    • Life Scientists2
    • Ontologists2
    • Patient Advocates 2
    • PhD2
    • PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members2
    • Policy makers2
    • Post-Doctoral Fellows2
    • Postdocs and Staff members2
    • Principal Investigators (PIs)2
    • Research scientists2
    • Staff2
    • Technicians2
    • Undergraduate students2
    • computational scientists2
    • data managers2
    • database managers2
    • plant researchers2
    • policy officer2
    • post-docs2
    • software developers, bioinformaticians2
    • rare disease patients representatives1
    • Anyone1
    • Anyone dealing with cell lines with no or little knowledge of the Cellosaurus resource.1
    • Anyone wishing to interpret graphs showing the progression of COVID-19.1
    • Beginner informatics1
    • Beginners in statistics1
    • Biochemists1
    • Bioimage Analysts1
    • Biologists and bioinformaticians1
    • Biologists interested in learning about RNA-seq1
    • Biophysicists1
    • Biotechnology Companies1
    • Computer Vision scientists1
    • Data scientists1
    • Show N_FILTERS more
    • Author
    • Heleri Inno3
    • Annabel Cansdale2
    • Emma Rand2
    • Evelyn Greeves2
    • Jorge Buenabad-Chavez2
    • Sarah Forrester2
    • BioRDM1
    • David Dolan1
    • Espen Åberg1
    • Federico Bianchini1
    • Illimar Rekand1
    • Korbinian Bösl1
    • Nazeefa Fatima1
    • Priit Adler1
    • Stefanie Lueck1
    • Show N_FILTERS more
    • Contributor
    • Emma Barnes2
    • James Chong2
    • Software Sustainability Institute2
    • University of York2
    • Show N_FILTERS more
    • Resource type
    • lessons6
    • Training materials5
    • Online material2
    • course materials2
    • online course2
    • E-Learning1
    • Slides1
    • Show N_FILTERS more
    • Node
    • Estonia4
    • United Kingdom2
    • Germany1
    • Norway1
    • Show N_FILTERS more
    • Collection
    • PINK project1
    • Show N_FILTERS more
    • Status
    • Active11
    • 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

Competency level: Beginner

and Target audience: PhD Students

11 materials found
  • course materials, online course, Training materials

    Cloud-SPAN Prenomics

    • Beginner
    Bioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics …
  • 1
  • 2
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.