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Gene Editing with Python

Episode #335, published Fri, Sep 24, 2021, recorded Wed, Sep 15, 2021.

This episode is carbon neutral.
Gene therapy holds the promise to permanently cure diseases that have been considered life-long challenges. But the complexity of rewriting DNA is truly huge and lives in its own special kind of big-data world.

On this episode, you'll meet David Born, a computational biologist who uses Python to help automate genetics research and helps move that work to production.



Links from the show

David on Twitter: @Hypostulate
Beam Therapeutics: beamtx.com

AWS Cloud Development Kit: aws.amazon.com/cdk
Jupyter: jupyter.org
$1,279-per-hour, 30,000-core cluster built on Amazon EC2 cloud: arstechnica.com
Luigi data pipelines: luigi.readthedocs.io
AWS Batch: aws.amazon.com/batch
What is CRISPR?: wikipedia.org
SUMMIT supercomputer: olcf.ornl.gov/summit
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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David Born
David Born
David Born is a computational biologist and software engineer focused on scalable solutions to biological data challenges. He is currently a Senior Scientist at Beam Therapeutics where he develops data pipelines, cloud infrastructure, and computational biology tools. Before transitioning to computational biology, David earned a PhD in biophysics focused on structural biology and biochemistry.
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