Memory-efficient single-cell analysis in Python. Stream RNA, ATAC, CITE-seq and multi-omics from local or remote Zarr stores, from laptop to atlas scale, with reusable fingerprinted results.

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.

Reworking of the Bash for HPC book into a class format

Code for project "Music recommendation system"

A guide for getting started using AnVIL

Running and writing your first WDL workflow on AnVIL for absolute beginners.

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

Pull Sequence Read Archive (SRA) data into AnVIL

Memory-aware large-scale text processing in core Python, including corpus analysis, Jaccard similarity, and inverted indexing.

An emerging course for effective use of FH Computing.

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

⏱ 30-minute demos and tutorials from our live AnVIL series

A set of lab modules for PCA analysis

A semester-long course on the basics of molecular phylogenetic techniques

This is a guide to all the ways to access, upload, and use data on NHGRI's AnVIL platform.

Tutorial for running the fastq_subsample WDL workflow on AnVIL!