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
    • 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
    • Python
    • FAIR data2
    • Data visualization1
    • Enrichment analysis1
    • General1
    • Genomics1
    • Next generation sequencing1
    • 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
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Show N_FILTERS more
    • Contributor
    • Teaching materials at the Harvard Chan Bioinformatics Core
    • The Carpentries Incubator8
    • SIB Swiss Institute of Bioinformatics7
    • MolSSI Education4
    • Sundeep Agarwal3
    • posit-dev3
    • Allen Downey2
    • Data Carpentry2
    • Google2
    • Instituto Gulbenkian de Ciência2
    • Jake Vanderplas2
    • PyMC Labs2
    • Scott Reed2
    • The Gulbenkian Training Programme in Bioinformatics2
    • Theis Lab2
    • UC Davis Bioinformatics Core Training Page2
    • cambiotraining2
    • posit::conf(2024)2
    • @SUNET1
    • @UTAustin1
    • @foss421
    • @posit-dev1
    • @posit-pbc1
    • @pydantic1
    • @rstudio @UBC-DSCI @UBC-MDS1
    • Alex Hall1
    • Ankit Mahato1
    • Anthony Bretaudeau1
    • AstraZeneca1
    • BioINForm1
    • BiotrAIn1
    • Charles Severance1
    • Common Fund Data Ecosystem1
    • Cymon Cox1
    • Dan Chitwood1
    • Daniel Chen1
    • Data Science in Practice1
    • Decathlon Digital - @dktunited1
    • Dominic Waithe1
    • ELIXIR Europe Training1
    • Emil Hvitfeldt1
    • Firas Zemzem1
    • Fred Hutch Data Science Lab1
    • 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
    • Jeffrey Hu1
    • Jose A Dianes1
    • João Ventura1
    • Kevin Heavey1
    • Kushal Das1
    • Kyran Dale1
    • Leighton Pritchard1
    • LiaPlayground1
    • Lino Galiana1
    • Liquid AI1
    • Marius van den Beek1
    • Max Planck Institute for Astronomy1
    • Maxime Labonne1
    • Michael Pyrcz1
    • Michigan State University1
    • NBIS - National Bioinformatics Infrastructure Sweden1
    • NIAID BCBB1
    • Navid Nobani1
    • Neuromatch Academy1
    • Oleksii Trekhleb1
    • Oxford University1
    • Parlance Labs1
    • Peter van Heusden1
    • Plants&Python1
    • Python Packages1
    • Queen Mary University of London, School of Business and Management1
    • R. Burke Squires1
    • Rami Krispin1
    • Real Python1
    • Rohan Alexander1
    • S.Lott1
    • Sabine Österle1
    • Saskia Hiltemann1
    • Sebastian Raschka1
    • Sergio Martínez Cuesta1
    • Shawn Rhoads1
    • SoftUni1
    • Software Carpentry1
    • Sébastien Wieckowski1
    • The Algorithms1
    • UC Berkeley Data 1001
    • UC Berkeley Data 81
    • UW Interactive Data Lab1
    • Uber1
    • University of Michigan1
    • University of Milan-Bicocca1
    • 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

Keywords: Python

and Contributors: Teaching materials at the Harvard Chan Bioinformatics Core

and Across all spaces: true

1 material found
  • hbctraining/Training-modules

    FAIR data Data visualisation R markdown Enrichment analysis RNA-Seq Transcriptomics Variant pattern analysis Data visualization General 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.