#335: Gene Editing with Python

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 24 September 2021

⏱️ 58 minutes

🔗️ Recording | iTunes | RSS

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Summary

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.

Transcript

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0:00.0	Gene therapy holds the promise to permanently cure diseases that have been considered lifelong challenges.
0:06.0	But the complexity of rewriting DNA is truly huge and lives in his own special kind of big data world.
0:12.4	On this episode, you'll meet David Bourne, a computational biologist who uses Python to help automate genetics research and helps move that work to production.
0:21.8	This is Talk Python to Me. Episode 335 recorded September 15th, 2021.
0:43.1	Welcome to Talk Python, a weekly podcast on Python.
0:44.8	This is your host, Michael Kennedy.
0:51.0	Follow me on Twitter where I'm at M. Kennedy and keep up with a show and listen to past episodes at TalkPython.fm.
0:54.0	And follow the show on Twitter via at Talk Python.
0:57.7	We've started streaming most of our episodes live on YouTube.
1:05.3	Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified about upcoming shows and be part of that episode.
1:12.5	This episode is brought to you by Shortcut, formerly known as Clubhouse.io, and us over at Talk Python Training.
1:15.5	And the transcript are brought to you by Assembly AI.
1:18.2	David, welcome to Talk Python to me.
1:19.6	Thanks, Michael. It's great to be here.
1:25.2	Yeah, it's great to have you here. One of the things I really love to explore is the somewhat non-traditional use cases of Python that are not straight down the,
1:29.7	I'm building an API and something that talks to a database for a startup, right?
1:34.4	Something like that.
1:35.1	But blending it with other technologies and science and whatnot and genetics plus Python,
1:41.5	it's going to be interesting.
1:42.4	It sure is.
1:43.2	When you got into this, did you start out on the biology side or the programming side of the world?
1:48.6	I definitely started out on the biology side.
	...

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