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

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Whole transcriptome shotgun sequencing
    • Python57
    • Python program57
    • Python script57
    • py57
    • FAIR data25
    • Findable, accessible, interoperable, reusable data25
    • Data management17
    • Metadata management17
    • Research data management (RDM)17
    • Active learning12
    • Ensembl learning12
    • Kernel methods12
    • Knowledge representation12
    • Machine learning12
    • Neural networks12
    • Recommender system12
    • Reinforcement learning12
    • Supervised learning12
    • Unsupervised learning12
    • Data rendering7
    • Data visualisation7
    • Bayesian methods6
    • Biostatistics6
    • Comparative transcriptomics6
    • Descriptive statistics6
    • Gaussian processes6
    • Inferential statistics6
    • Markov processes6
    • MicroRNA sequencing6
    • Multivariate statistics6
    • Probabilistic graphical model6
    • Probability6
    • RNA sequencing6
    • RNA-Seq6
    • RNA-Seq analysis6
    • Small RNA sequencing6
    • Small RNA-Seq6
    • Small-Seq6
    • Statistics6
    • Statistics and probability6
    • Transcriptome6
    • Transcriptome profiling6
    • Transcriptomics6
    • WTSS6
    • miRNA-seq6
    • Single-cell genomics4
    • Single-cell sequencing4
    • Open science3
    • R2
    • R program2
    • R script2
    • Chromosome walking1
    • Clone verification1
    • DNA-Seq1
    • DNase-Seq1
    • Enrichment1
    • Enrichment analysis1
    • Functional enrichment1
    • High throughput sequencing1
    • High-throughput sequencing1
    • Integrative omics1
    • Multi-omics1
    • Multiomics1
    • NGS1
    • NGS data analysis1
    • Network1
    • Next gen sequencing1
    • Next generation sequencing1
    • Over-representation analysis1
    • Pan-omics1
    • Panels1
    • Panomics1
    • Pathway1
    • Pathway or network1
    • Primer walking1
    • R markdown1
    • SPARQL1
    • SPARQL Protocol and RDF Query Language1
    • SQL1
    • Sanger sequencing1
    • Sequencing1
    • Structured Query Language1
    • Targeted next-generation sequencing panels1
    • Variant pattern analysis1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS6
    • Show N_FILTERS more
    • Keyword
    • Python6
    • RNA-seq6
    • Transcriptomics5
    • Single-cell sequencing3
    • General2
    • R2
    • Unix/Linux2
    • Cloud computing1
    • Data visualization1
    • Enrichment analysis1
    • FAIR data1
    • Next generation sequencing1
    • Rmarkdown1
    • Snakemake1
    • Spatial transcriptomics1
    • Variant analysis1
    • Version control1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • License Not Specified4
    • Apache License 2.01
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Author
    • Common Fund Data Ecosystem1
    • Health Data Science Sandbox1
    • NBIS - National Bioinformatics Infrastructure Sweden1
    • SIB Swiss Institute of Bioinformatics1
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Theis Lab1
    • Show N_FILTERS more
    • Contributor
    • Common Fund Data Ecosystem1
    • Health Data Science Sandbox1
    • NBIS - National Bioinformatics Infrastructure Sweden1
    • SIB Swiss Institute of Bioinformatics1
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Theis Lab1
    • 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

Scientific topics: Whole transcriptome shotgun sequencing

and Difficulty level: Not specified

and User: scraper

6 materials found
  • sib-swiss/single-cell-python-training

    Sequencing RNA-Seq Single-cell sequencing Transcriptomics Next generation sequencing Python RNA-seq Single-cell sequencing Transcriptomics
  • NBISweden/workshop-spatial

    RNA-Seq Transcriptomics Python RNA-seq Spatial transcriptomics Transcriptomics
  • nih-cfde/training-and-engagement

    RNA-Seq Cloud computing General Python RNA-seq Snakemake Unix/Linux
  • theislab/single-cell-tutorial

    RNA-Seq Single-cell sequencing Transcriptomics Python RNA-seq Single-cell sequencing Transcriptomics
  • hds-sandbox/scRNASeq_course

    RNA-Seq Single-cell sequencing Transcriptomics Python R RNA-seq Single-cell sequencing Transcriptomics
  • hbctraining/Training-modules

    FAIR data Data visualisation R markdown Enrichment analysis RNA-Seq Transcriptomics Variant pattern analysis Data visualization Enrichment analysis FAIR data …
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Browse Spaces
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.