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
    • Comparative transcriptomics1
    • Data rendering1
    • Data visualisation1
    • Enrichment1
    • Enrichment analysis1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • Functional enrichment1
    • MicroRNA sequencing1
    • Over-representation analysis1
    • R markdown1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Transcriptome1
    • Transcriptome profiling1
    • Transcriptomics1
    • Variant pattern analysis1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • miRNA-seq1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS1
    • Show N_FILTERS more
    • Keyword
    • Data visualization1
    • Enrichment analysis1
    • FAIR data1
    • General1
    • Python1
    • R1
    • RNA-seq1
    • Rmarkdown1
    • Transcriptomics1
    • Unix/Linux1
    • Variant analysis1
    • Version control1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • License Not Specified1
    • Show N_FILTERS more
    • Author
    • The Carpentries Incubator12
    • Donat Agosti4
    • Julia Giora4
    • MolSSI Education4
    • Plazi Verein4
    • SIB Swiss Institute of Bioinformatics4
    • Fred Hutch Data Science Lab3
    • NBIS - National Bioinformatics Infrastructure Sweden3
    • Sundeep Agarwal3
    • posit-dev3
    • Allen Downey2
    • AstraZeneca2
    • Data Carpentry2
    • Google2
    • Jake Vanderplas2
    • PyMC Labs2
    • Scott Reed2
    • Sergio Martínez Cuesta2
    • Tereza Machačová2
    • Theis Lab2
    • posit::conf(2024)2
    • @SUNET1
    • @UTAustin1
    • @foss421
    • @posit-dev1
    • @posit-pbc1
    • @pydantic1
    • @rstudio @UBC-DSCI @UBC-MDS1
    • Akuli1
    • Alex Hall1
    • Allegra Via1
    • Ankit Mahato1
    • Avans Hogeschool1
    • BioRDM1
    • Boas Pucker1
    • British Ecological Society Better Science Guides1
    • Carnegie Mellon1
    • Charles Severance1
    • Coding For Reproducible Research (CfRR)1
    • Common Fund Data Ecosystem1
    • Cristina Martins Rodrigues1
    • Daniel Chen1
    • Data Science in Practice1
    • Decathlon Digital - @dktunited1
    • Dipl.-Inform. Bernd Klein1
    • Dominik Brilhaus1
    • Emil Hvitfeldt1
    • FAIR-by-Design-Methodology1
    • FAIRplus1
    • Fran Lewitter1
    • Girls Who Code at U-M DCMB1
    • Gray Lab1
    • Greg Malcolm1
    • Guillaume Gautier1
    • Hacking for Science1
    • Hamel Husain1
    • Health Data Science Sandbox1
    • Helena Rasche1
    • Icahn School of Medicine at Mount Sinai1
    • Inria1
    • Insee1
    • James Collier1
    • Jan Slifka1
    • Jean de Dieu Nyandwi1
    • Jeffrey Hu1
    • Jeremy Cohen1
    • Jose A Dianes1
    • João Ventura1
    • Kees van Bochove1
    • Kevin Frey1
    • Kevin Heavey1
    • Kushal Das1
    • Kyran Dale1
    • LiaPlayground1
    • Lino Galiana1
    • Liquid AI1
    • Marek Suchánek1
    • Marta Lloret Llinares1
    • Martin Kuhl1
    • Max Planck Institute for Astronomy1
    • Maxime Labonne1
    • Michael Pyrcz1
    • Navid Nobani1
    • Neuromatch Academy1
    • OBOAcademy1
    • Oleksii Trekhleb1
    • OpenSciency1
    • OpenTechSchool1
    • Parlance Labs1
    • Peter Sefton1
    • Plant Biotechnology and Bioinformatics, Institute of Cellular and Molecular Botany (IZMB), University of Bonn1
    • Plants&Python1
    • Priit Adler1
    • Python Packages1
    • Queen Mary University of London, School of Business and Management1
    • Rami Krispin1
    • Real Python1
    • Rohan Alexander1
    • S.Lott1
    • Sabrina Zander1
    • Show N_FILTERS more
    • Contributor
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Authors: Teaching materials at the Harvard Chan Bioinformatics Core

and User: scraper

and Include broken links: true

1 material found
  • 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.