This repository contains general information about learning genomic and bioinformatic analysis through fredhutch.io.
See the following pages for answers to commonly asked questions about genomics and bioinformatic analyses.
These pages are currently under construction.
- How do I store and organize large genomic files?
- How do I choose what analyses to run?
- Where do I run my analyses?
- How can I reuse someone else's code?
- Can I analyze genomics data without learning to code?
- RNAseq analysis: analyzing data from bulk RNAseq, transcriptomic, and differential gene expression experiments. There are two courses available:
- Concepts in RNAseq: lecture-style class, discusses topics in designing RNAseq experiments and steps in analyzing data
- Bulk RNAseq analysis with Unix and R: application of Unix and R code to analyze RNAseq data
- Single cell RNAseq analysis: analyzing data from single-cell RNAseq experiments, which applies skills from both Unix and R
The following classes provide skills necessary for performing genomic analyses. See genomics course descriptions for specific pre-requisites.
- Data for Data Science, which describes the data management skills essential for working with many large genomics data files
- Intro to Unix: introduction to unix/bash shell scripting, used for pre-processing and filtering raw genomic data
- Intro to R: introduction to R statistical programming, used for statistical comparisons and visualization of genomic data