DALIA logo
  • Log In
    • Log in with UmbrellaID
    • Log in with Helmholtz AAI
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Spaces
  • Directory
    • Providers

PaN-Training 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
    • High-performance computing
    • Python66
    • Python program66
    • Python script66
    • py66
    • Active learning17
    • Ensembl learning17
    • Kernel methods17
    • Knowledge representation17
    • Machine learning17
    • Neural networks17
    • Recommender system17
    • Reinforcement learning17
    • Supervised learning17
    • Unsupervised learning17
    • Bayesian methods9
    • Biostatistics9
    • Data rendering9
    • Data visualisation9
    • Descriptive statistics9
    • Gaussian processes9
    • Inferential statistics9
    • Markov processes9
    • Multivariate statistics9
    • Probabilistic graphical model9
    • Probability9
    • Statistics9
    • Statistics and probability9
    • 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
    • Comparative transcriptomics6
    • R6
    • R program6
    • R script6
    • Transcriptome6
    • Transcriptomics6
    • Single-cell genomics5
    • Single-cell sequencing5
    • Cloud computing3
    • Computer science3
    • Data management3
    • Exomes3
    • FAIR data3
    • Findable, accessible, interoperable, reusable data3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • HPC3
    • High performance computing3
    • Metadata management3
    • Personal genomics3
    • Research data management (RDM)3
    • Synthetic genomics3
    • Viral genomics3
    • Whole genomes3
    • Bioinformatics2
    • Chromosome walking2
    • Clone verification2
    • DNA-Seq2
    • DNase-Seq2
    • High throughput sequencing2
    • High-throughput sequencing2
    • Image analysis2
    • NGS2
    • NGS data analysis2
    • Next gen sequencing2
    • Next generation sequencing2
    • Open science2
    • Panels2
    • Pipelines2
    • Primer walking2
    • Sanger sequencing2
    • Sequencing2
    • Software integration2
    • Targeted next-generation sequencing panels2
    • Tool integration2
    • Tool interoperability2
    • Workflows2
    • Algorithms1
    • Antimicrobial stewardship1
    • Biomathematics1
    • Bottom-up proteomics1
    • Breakend assembly1
    • Computational biology1
    • Computer programming1
    • Data structures1
    • Discovery proteomics1
    • Dynamic systems1
    • Dynamical systems1
    • Dynymical systems theory1
    • Functional genome annotation1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS3
    • Show N_FILTERS more
    • Keyword
    • Python2
    • discrete-event simulation2
    • Automated testing1
    • Cloud computing1
    • Computational modelling1
    • DES1
    • Data Science1
    • General1
    • Health Services1
    • Open Access1
    • Open Science1
    • Open Source Software1
    • Open source code1
    • Python for Data Analysis1
    • R1
    • R Programming1
    • RAP1
    • Reproducibility1
    • Reproducible Analytical Pipeline1
    • Reproducible Environment1
    • Reproducible Research1
    • Reproducible Science1
    • SimPy1
    • Simulation1
    • Unix/Linux1
    • data visualization1
    • data-driven modeling1
    • object-oriented programming1
    • reproduce1
    • reproducible research1
    • simmer1
    • Show N_FILTERS more
    • Difficulty level
    • Advanced1
    • Intermediate1
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • MIT License2
    • BSD 3-Clause "New" or "Revised" License1
    • Show N_FILTERS more
    • Target audience
    • Analysts1
    • Computational biologists1
    • Postgraduate students1
    • Research Software Engineers1
    • Researchers1
    • bioinformaticians1
    • computational scientists1
    • programmers1
    • software engineers1
    • Show N_FILTERS more
    • Author
    • Amy Heather1
    • Arthur Goldberg1
    • Jonathan Karr1
    • UC Davis Bioinformatics Core Training Page1
    • Show N_FILTERS more
    • Contributor
    • Alison Harper1
    • Fatemeh Alidoost1
    • Nav Mustafee1
    • Rob Challen1
    • Tom Monks1
    • Tom Slater1
    • UC Davis Bioinformatics Core Training Page1
    • Show N_FILTERS more
    • Resource type
    • Jupyter notebook2
    • Tutorial2
    • examples2
    • API reference1
    • Book1
    • Coding1
    • Computer Science1
    • Computer Software1
    • Course materials1
    • Data Science1
    • Documentation1
    • E-Learning1
    • E-learning1
    • Education1
    • Educational Resource1
    • FREE online course1
    • How-to guide1
    • Online material1
    • Open educational resource1
    • Programming1
    • Training materials1
    • case studies1
    • course materials1
    • e-Learning1
    • e-learning1
    • educational materials1
    • handbook1
    • hands-on tutorial1
    • knowledgebase1
    • online course1
    • online modules1
    • online tutorial1
    • tutorial1
    • tutorials1
    • workflow1
    • Show N_FILTERS more
    • Status
    • Active1
    • Show N_FILTERS more
  • Only show materials from current space
  • Show disabled materials
  • Show materials with broken links
  • 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

Scientific topics: High-performance computing

and Max age: 1 month

and Across all spaces: true

3 materials found
  • Book, Coding, Computer Science, Computer Software, Course materials, Data Science, Documentation, E-Learning, E-learning, Education, Educational Resource, FREE online course, How-to guide, Jupyter notebook, Online material, Open educational resource, Programming, Training materials, Tutorial, case studies, course materials, e-Learning, e-learning, educational materials, examples, handbook, hands-on tutorial, knowledgebase, online course, online modules, online tutorial, tutorial, tutorials, workflow

    DES RAP Book: Reproducible Discrete-Event Simulation in Python and R

    •• intermediate
    Computer science Data visualisation Data management FAIR data Informatics Open science Statistics and probability Version control Workflows Automated testing …
  • ucdavis-bioinformatics-training/2020-Bioinformatics_Prerequisites_Workshop

    Python script R script Computer science Cloud computing General Python R Unix/Linux
  • API reference, Jupyter notebook, Tutorial, examples

    DE-Sim examples, tutorials, and documentation

    ••• advanced
    Simulation experiment Computer science Mathematics Computational biology Computational modelling DES Data Science Python data visualization data-driven modeling …
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.