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
    • Synthetic genomics
    • 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
    • Data visualisation9
    • Descriptive statistics9
    • Gaussian processes9
    • Inferential statistics9
    • Markov processes9
    • Multivariate statistics9
    • Probabilistic graphical model9
    • Probability9
    • Statistics9
    • Statistics and probability9
    • MicroRNA sequencing8
    • RNA sequencing8
    • RNA-Seq8
    • RNA-Seq analysis8
    • Small RNA sequencing8
    • Small RNA-Seq8
    • Small-Seq8
    • Transcriptome profiling8
    • WTSS8
    • Whole transcriptome shotgun sequencing8
    • miRNA-seq8
    • Comparative transcriptomics7
    • Transcriptome7
    • Transcriptomics7
    • R6
    • R program6
    • R script6
    • Single-cell genomics5
    • Single-cell sequencing5
    • Chromosome walking2
    • Clone verification2
    • DNA-Seq2
    • DNase-Seq2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • High throughput sequencing2
    • High-throughput sequencing2
    • NGS2
    • NGS data analysis2
    • Next gen sequencing2
    • Next generation sequencing2
    • Panels2
    • Personal genomics2
    • Primer walking2
    • Sanger sequencing2
    • Sequencing2
    • Targeted next-generation sequencing panels2
    • Viral genomics2
    • Whole genomes2
    • Antimicrobial stewardship1
    • Bioinformatics1
    • Bottom-up proteomics1
    • Cloud computing1
    • Computer science1
    • Discovery proteomics1
    • Enrichment1
    • Enrichment analysis1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • Functional enrichment1
    • Genes1
    • Genetics1
    • Genotype1
    • Genotype and phenotype1
    • Genotype and phenotype resources1
    • Genotype-phenotype1
    • Genotype-phenotype analysis1
    • Genotyping1
    • HPC1
    • Heredity1
    • High performance computing1
    • High-performance computing1
    • Image analysis1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Medical microbiology1
    • Metaproteomics1
    • Microbial genetics1
    • Microbial physiology1
    • Microbial surveillance1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS2
    • Show N_FILTERS more
    • Keyword
    • Python
    • Genomics3
    • Next generation sequencing2
    • R2
    • Artificial intelligence1
    • FAIR data1
    • Machine learning1
    • Microbiology1
    • Ontology1
    • RNA-seq1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • License Not Specified2
    • Show N_FILTERS more
    • Author
    • BiotrAIn1
    • Show N_FILTERS more
    • Contributor
    • BiotrAIn1
    • Show N_FILTERS more
  • Show materials from all spaces
  • 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: Synthetic genomics

and Keywords: Python

and Difficulty level: Not specified

2 materials found
  • A Bioinformatics Guide

    R script RNA-Seq Genomics Python R RNA-seq
  • biotrain-latam/BiotrAIn-pilot-course

    Genomics Microbiology Sequencing Machine learning Artificial intelligence Next generation sequencing Ontology Python R
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.