This course is designed to help investigators understand more about computing basics, as well as familiarize researchers with various computing platform options.
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Updated
Oct 21, 2025 - TeX
This course is designed to help investigators understand more about computing basics, as well as familiarize researchers with various computing platform options.
Fluency in programming and data science requires using computer software from the Command Line, a text-based way of controlling the computer. You will go on a guided under-the-hood tour behind the graphical interface we typically use: you will learn how to interact and manipulate files, folders, and software via the Command Line.
Code for project "Music recommendation system"
A guide for getting started using AnVIL
A repo to create a peer-to-peer (p2p) name-defined network (NDN) designed for communication across multiple Raspberry Pi devices.
RGMQL: Scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor
Lab module and lectures for variant detection in SARS-CoV-2 using Galaxy
An introductory activity for epigenetics, or the idea of "nature versus nurture" in genetics. Learners use the UCSC Genome Browser.
Pull Sequence Read Archive (SRA) data into AnVIL
⏱ 30-minute demos and tutorials from our live AnVIL series
A guide for instructors using AnVIL for workshops, lessons, or courses.
This is a guide to all the ways to access, upload, and use data on NHGRI's AnVIL platform.
This course introduces users to the Fred Hutch Cluster. It will lead users through account creation, using the terminal, connecting to the cluster, submitting jobs, and transferring files. Available in both web and Leanpub formats.
Lab module and lectures for identifying phylogenetic history of SARS variants using R
Tutorial for running the fastq_subsample WDL workflow on AnVIL!
"Developing WDL Workflows" shows a bioinformatics workflow developer how to strategically develop and scale up a WDL workflow that is iterative, reproducible, and efficient in terms of time and resource used. This guide is flexible regardless of where the data is, what computing resources are being used, and what software is being used.
Add a description, image, and links to the scalable-computing topic page so that developers can more easily learn about it.
To associate your repository with the scalable-computing topic, visit your repo's landing page and select "manage topics."