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"Resurrecting ancient proteins in Python" (SciPy 2018 talk by Zach Sailer)

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Resurrecting ancient proteins in Python

SciPy 2018 Talk (by Zach Sailer)

This repository contains all material for the title talk above.

The slides were built using Reveal.js.

You can view the slides in your browser here.

The analyses from this talk can be reproduced from a single Jupyter notebook found here.

Table of contents

  1. Summary and proposal
  2. Install and setup
  3. Slides

Summary and proposal

All living organisms evolved from an ancient set of ancestors. That means, the proteins that make up these organisms also evolved from an ancient set. Over a few billion years, evolution improvised, diversified, and specialized these proteins to meet life’s demands. How did evolution do this? To explore this question, we use Python to infer ancient, ancestral proteins from modern protein families. We then synthesize these ancestors in lab and identify key changes that led to new evolutionary innovations. In this talk, we will resurrect an ancient protein and trace its evolutionary history in a single Jupyter Notebook.

You can see the full proposal here.

Install and setup

Create new environment from environment.yml.

Slides

Slides are hosted as Reveal.js slides here

See the slides directory.

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"Resurrecting ancient proteins in Python" (SciPy 2018 talk by Zach Sailer)

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