Artwork

Content provided by KVRX Austin: They Blinded Me with Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KVRX Austin: They Blinded Me with Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Monday, March 23rd, 2015 - Siavash Mirarab develops computational methods to investigate large datasets in biology

26:42
 
Share
 

Archived series ("Inactive feed" status)

When? This feed was archived on March 05, 2020 20:07 (4y ago). Last successful fetch was on November 27, 2018 01:06 (5+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 211088673 series 2379701
Content provided by KVRX Austin: They Blinded Me with Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KVRX Austin: They Blinded Me with Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode we're joined by University of Texas at Austin computer science PhD student, Siavash Mirarab, whose research focuses on large-scale phylogenetics. Siavash and his advisor Tandy Warnow developed a new technique for estimating evolutionary relationships ("statistical binning") that enabled an international consortium of researchers to redraw the bird family tree. He talks about this part of his PhD work which was recently published in Science magazine. Join us to learn about the computational side of biology, where complex models and methodologies are used to understand evolution from Slavish Mirarab.

  continue reading

25 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on March 05, 2020 20:07 (4y ago). Last successful fetch was on November 27, 2018 01:06 (5+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 211088673 series 2379701
Content provided by KVRX Austin: They Blinded Me with Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KVRX Austin: They Blinded Me with Science or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode we're joined by University of Texas at Austin computer science PhD student, Siavash Mirarab, whose research focuses on large-scale phylogenetics. Siavash and his advisor Tandy Warnow developed a new technique for estimating evolutionary relationships ("statistical binning") that enabled an international consortium of researchers to redraw the bird family tree. He talks about this part of his PhD work which was recently published in Science magazine. Join us to learn about the computational side of biology, where complex models and methodologies are used to understand evolution from Slavish Mirarab.

  continue reading

25 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide