Training eSupport System
  • 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
    • Data visualisation
    • Python68
    • Python program68
    • Python script68
    • py68
    • 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
    • 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
    • Bioinformatics2
    • Chromosome walking2
    • Clone verification2
    • Cloud computing2
    • Computer science2
    • DNA-Seq2
    • DNase-Seq2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • HPC2
    • High performance computing2
    • High throughput sequencing2
    • High-performance computing2
    • High-throughput sequencing2
    • NGS2
    • NGS data analysis2
    • Next gen sequencing2
    • Next generation sequencing2
    • Panels2
    • Personal genomics2
    • Primer walking2
    • Sanger sequencing2
    • Sequencing2
    • Synthetic genomics2
    • Targeted next-generation sequencing panels2
    • Viral genomics2
    • Whole genomes2
    • Algorithms1
    • Antimicrobial stewardship1
    • Biomathematics1
    • Bottom-up proteomics1
    • Computational biology1
    • Computer programming1
    • Data structures1
    • Discovery proteomics1
    • Dynamic systems1
    • Dynamical systems1
    • Dynymical systems theory1
    • Genes1
    • Genetics1
    • Genotype1
    • Genotype and phenotype1
    • Genotype and phenotype resources1
    • Genotype-phenotype1
    • Genotype-phenotype analysis1
    • Genotyping1
    • Graph analytics1
    • Heredity1
    • Image analysis1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Mathematical biology1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS9
    • Show N_FILTERS more
    • Keyword
    • Python9
    • Data visualization8
    • Data science2
    • R2
    • Data analysis1
    • Data visualisation1
    • General1
    • Java1
    • Machine learning1
    • Reproducibility1
    • Snakemake1
    • Workflows1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified8
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • License Not Specified5
    • MIT License2
    • BSD 3-Clause "New" or "Revised" License1
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
    • Show N_FILTERS more
    • Author
    • BioINForm1
    • Fred Hutch Data Science Lab1
    • Kyran Dale1
    • NIAID BCBB1
    • R. Burke Squires1
    • Rohan Alexander1
    • Scott Reed1
    • The Carpentries Incubator1
    • UW Interactive Data Lab1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Contributor
    • BioINForm1
    • Fred Hutch Data Science Lab1
    • Kyran Dale1
    • NIAID BCBB1
    • R. Burke Squires1
    • Rohan Alexander1
    • Scott Reed1
    • The Carpentries Incubator1
    • UW Interactive Data Lab1
    • Show N_FILTERS more
    • Resource type
    • e-learning1
    • Show N_FILTERS more
    • Status
    • Active1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide 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: Data visualisation

and Max age: 24 hours

and Include broken links: true

9 materials found
  • Kyrand/dataviz-with-python-and-js-ed-2

    Data visualisation Data science Data visualization Java Python
  • scottmreed/molecular_informatics

    Data visualisation Data science Data visualization Python
  • RohanAlexander/tswd

    Data visualisation Data visualization Python R
  • burkesquires/python_biologist

    Workflows Data visualisation Machine learning Data visualization Python Reproducibility Snakemake
  • fhdsl/better_plots

    Data visualisation Data visualization Python R
  • bioinform-org/bioinforming-hs

    Data visualisation Data visualization General Python
  • uwdata/visualization-curriculum

    Data visualisation Data visualization Python
  • carpentries-incubator/python-interactive-data-visualizations

    Data visualisation Data visualization Python
  • e-learning

    Explore and Visualize Your Data with Python

    •• intermediate
    Data visualisation Bioinformatics Data analysis Python
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.