Training and Documentation

Hutch Data Core

Updated: October 6, 2023

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Here you can find the opportunities for self-learning and training in the methods used for bioinformatics and data analysis which may be useful for researchers in making use of large-scale datasets, in particular those produced by the instrumentation provided by Shared Resources.


Library prep and quality assessment



10X genomics


Small RNAs (e.g., miRNA)

Cleavage Under Targets and Release Using Nuclease (CUT&RUN)

Whole exome sequencing

Targeted sequencing

CRISPR screens


ATACseq (DNA accessibility)


Self-directed learning through Fred Hutch

  • The Scientific Computing Resource Library includes tutorials of how to perform common computational tasks using software available at Fred Hutch. Below we’ve highlighted a few popular links, but be sure to check out the page to see all the tutorials available.
  • Code templates and examples have been developed for those who are interested in implementing methods from the Scientific Computing Resource Library on their own data following best practices for reproducibility. Code templates are provided for setting up your own analyses, as well as additional examples of executable code that can be tailored to suit your own needs.

  • The Fred Hutch Data Science Lab curates training materials on a wide array of data science and computing topics that you can find on their training page.

  • was an initiative to facilitate education about and promote access to computational resources at Fred Hutch. Those interested in learning core computational skills like R and Python can work through this archived content at their own pace.

Resources In Seattle

External Resources On the Web

Classroom-Style Courses

These resources are organized in a lecture type format as slides, screencasts, and video. Most are work-at-your-own-pace, but some may be linked to a course calander.

Video Tutorials

Command Line



Core Coding Concepts

Interactive Coding Platforms

These resources offer classes that are work-at-your-own-pace with a major focus on hands-on problem-sets and projects.

  • DataQuest: A subscription service that offers programs and courses focused on data anlysis and engineering in Python and R.
    • Tiered payment system with basic and premium plans
  • CodeAcademy: A subscription service that offers coding programs and courses in many different languages.
    • Tiered payment system with limited content available for free

Free ebooks


Please reach out to the Hutch Data Core by sending an email to hutchdatacore with questions, comments, or suggestions related to training!

Updated: October 6, 2023

Edit this Page via GitHub       Comment by Filing an Issue      Have Questions? Ask them here.