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AOML Tutorials

This repository contains tutorials and crash courses for common computing environments, programs, or languages that are useful for data science.

Current tutorials available are:

Getting started

To run these tutorials locally on your machine, you can download the files individually. Or simply clone the whole repository using git clone, as follows.

First you might want to create a directory where your Git repositories can live:

mkdir ~/git
cd ~/git

Then use git clone to make a local copy on your computer:

git clone https://github.com/aomlomics/tutorials.git

Now you have all the files in this repository. You can change them if you want, and even request for those changes to be incorporated into the repository using a "pull request" through GitHub.

Other useful tutorials

Python

  • Python for Data Analysis course
  • Rosalind problem sets, especially the Python Village and the 1st few problems in the Bioinformatics Stronghold. These can be challenging as they don't provide step-by-step instructions to solve every problem, but are great because they require you to practice "Googling" to figure out a solution.

Command line

eDNA Bioinformatics

Qiime2

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  • Jupyter Notebook 99.4%
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